AI Data Science & Analytics Jobs

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. As a Precision Navigation and Sensing Lead, you will lead a team of software developers and sensor experts to develop optimize and field optimize algorithms and sensors that process and fuse data to provide accurate, reliable state estimates, enabling the VBAT and XBAT to operate autonomously in complex and contested environments.WHAT YOU’LL DO:Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness.Select characterize and field precision navigation sensors such as cameras, radar, IMUs, GPS, etc.Design and implement real-time sensor data processing pipelines.Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.Stay updated with the latest advancements in sensor technologies and state estimation , applying them to our systems.REQUIRED QUALIFICATIONS:Minimum of 10 years of related experience with a Bachelor’s degree in Mechanical, Aerospace, or Electrical Engineering (or related field); or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.Demonstrated experience leading a team to develop and deploy complex navigation solutionsExperience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.Proven track record of implementing and delivering state estimation techniques, such as Kalman filters, particle filters, etc.Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.PREFERRED QUALIFICATIONS:Experience in implementing inertial navigation algorithms on real-time processing systemsKnowledge of computer vision techniquesProficiency in optimizing algorithms for co 228,000 - 342,000 a yearFull-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Software Engineer to help build OpenAI’s ads delivery platform—systems that determine when, where, and how monetized experiences appear across OpenAI products. You will architect and implement large-scale, high-performance delivery and optimization systems with rigorous requirements around latency, correctness, safety, and continual improvement.This is a deeply technical, 0→1 role where you’ll work across systems engineering, backend engineering, and applied ML to create the next generation of AI-native ads delivery pipelines.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Architect, build, and optimize the ads delivery platform that serves ads in real time at global scaleDesign systems for correctness, safety, and continuous optimization under heavy loadDevelop decision engines, ranking logic, and delivery pipelines that require strong performance, reliability, and privacy guaranteesPartner with Product, Design, and Research to define requirements and drive novel solutions to highly complex technical problemsPrototype, experiment, and deploy rapid iterations to improve delivery quality, relevance, and efficiencyImplement infrastructure and services that support ongoing measurement, optimization, and model-based improvementsEnsure operational excellence through monitoring, alerting, performance analysis, and rigorous testingContribute to technical strategy and help shape the long-term roadmap of the ads delivery stackBuild safety, fairness, and policy alignment into delivery systems from first principlesYou might thrive in this role if you:Have 10+ years of experience designing and scaling distributed systems with strict correctness, reliability, and latency requirementsHave built or contributed to delivery, ranking, recommendation, ML-inference, or real-time decisioning systemsAre comfortable working across backend, systems engineering, and (optionally) applied MLThrive in deeply technical 0→1 problem spaces where architecture, strategy, and implementation must be inventedHave strong intuition for system design tradeoffs and the ability to translate product goals into technical decisionsCommunicate clearly, think holistically, and reason about long-term system maintainability and sustainabilityBonus: Experience in ads delivery, ranking systems, marketplaces, or ML-driven optimization platformsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Staff Back-End Software Engineer to join our Builders team in Sydney. This team is responsible for the core builder experience on the Relevance AI platform, specifically our agent builder, tool builder, and workforce builder functionalities. Focusing on making the platform better for most of our customers building agents and automation workflows.You will drive deep technical leadership and execution across the Builders team, partnering closely with product, engineering, and go-to-market teams to deliver robust enterprise-grade capabilities and back-end systems. This is a high-visibility role where you’ll have significant autonomy to design complex systems, shape architecture across teams, and see your impact reflected in real customer outcomes.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power AI agent and workflow builders.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), Terraform(This is a back-end-focused role. Frontend experience is helpful but not required; strong back-end and systems experience is what matters most.)What We’re Looking For 🧠6+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Evidence of operating at Senior+ scope - driving architecture, mentoring teams, and influencing across multiple squads or projects.Deep technical proficiency in modern web technologies, ideally TypeScript, Node.js, and cloud infrastructure (AWS preferred).Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure.Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Staff Back-End Software Engineer to join our Chat team in Sydney. This team owns one of Relevance AI’s newest and fastest-growing products: Chat, the conversational layer of our platform. Chat enables users to interact with pre-built AI agents, workplace productivity tools, and research workflows - all through a highly reliable, scalable back-end that powers real-time, agentic experiences.You will drive deep technical leadership and execution across the Chat team, partnering closely with product, engineering, and go-to-market teams to deliver robust enterprise-grade capabilities and back-end systems. This is a high-visibility role where you’ll have significant autonomy to design complex systems, shape architecture across teams, and see your impact reflected in real customer outcomes.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), Terraform(This is a back-end-focused role. Frontend experience is helpful but not required; strong back-end and systems experience is what matters most.)What We’re Looking For 🧠6+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Evidence of operating at Senior+ scope - driving architecture, mentoring teams, and influencing across multiple squads or projects.Deep technical proficiency in modern web technologies, ideally TypeScript, Node.js, and cloud infrastructure (AWS preferred).Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure.Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Senior Back-End Software Engineer to join our Chat team in Sydney. This team owns one of Relevance AI’s newest and fastest-growing products: Chat, the conversational layer of our platform. Chat enables users to interact with pre-built AI agents, workplace productivity tools, and research workflows - all through a highly reliable, scalable back-end that powers real-time, agentic experiences.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), TerraformWhat We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐ Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure. Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for a Senior Back-End Software Engineer to join our Builders team in Sydney. This team is responsible for the core builder experience on the Relevance AI platform, specifically our agent builder, tool builder, and workforce builder functionalities. Focusing on making the platform better for most of our customers building agents and automation workflows.Each engineering team at Relevance AI is tackling a different frontier of the AI workforce, from enabling individual builders to scaling enterprise-grade AI systems used by thousands of employees globally. This role sits at the heart of that mission, building the systems that make AI usable, reliable, and production-ready.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable back-end systems that power AI agent and workflow builders.Own mission-critical services and infrastructure, delivering impactful features from ideation through to production.Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours.Shape how we build by influencing engineering standards, architecture, and processes as we scale.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Set and uphold high standards for code quality, performance, reliability, and security.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), Terraform(This is a back-end-focused role. Experience in frontend frameworks is optional; the priority is robust back-end systems and scalable architecture.)What We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong experience designing, building, and maintaining production back-end systems.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐ Experience building systems for enterprise or high-scale users.Contributions to open-source projects (we’d love to see your GitHub).Hands-on experience with LLMs, agent workflows, or AI infrastructure. Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: Design rigorous electrical engineering problems reflecting professional practice.Evaluate AI solutions for correctness, assumptions, and constraints.Validate calculations or simulations using Python (NumPy, Pandas, SciPy).Improve AI reasoning to align with industry-standard logic.Apply structured scoring criteria to multi-step problems.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $32/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $13/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: Design rigorous electrical engineering problems reflecting professional practice.Evaluate AI solutions for correctness, assumptions, and constraints.Validate calculations or simulations using Python (NumPy, Pandas, SciPy).Improve AI reasoning to align with industry-standard logic.Apply structured scoring criteria to multi-step problems.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $50/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $15/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $15/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $13/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: Design rigorous electrical engineering problems reflecting professional practice.Evaluate AI solutions for correctness, assumptions, and constraints.Validate calculations or simulations using Python (NumPy, Pandas, SciPy).Improve AI reasoning to align with industry-standard logic.Apply structured scoring criteria to multi-step problems.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $50/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $12/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems