Freelance Electrical Engineering & Python Expert - AI Trainer
Contributors may 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, and apply structured scoring criteria to multi-step problems.
Freelance Electrical Engineer with Python Experience - AI Trainer
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.
Software Engineer, Platform Systems
Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs. Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior. Improve observability, reliability, and performance across OpenAI's training platform. Debug and resolve issues in complex, high-throughput distributed systems. Collaborate with systems, infrastructure, and research teams to evolve platform capabilities. Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads.
Senior Data Scientist
Designing and building agents in high-consequence environments where outputs need to be validated to a high standard, performing exploratory data analysis, model building, validation, and performance monitoring, leading data science efforts within cross-functional delivery teams by partnering with engineers, designers, and product leads for successful outcomes, understanding deeply core customer problems to ensure technical solutions drive real value, and translating real-world problems into technical strategies and measuring model impact with scientific rigor.
Member of Technical Staff (Applied AI)
As a Member of Technical Staff on Applied AI, you will productionize frontier AI models to solve complex real-world problems, collaborate closely with researchers and other teammates on the latest advancements in AI and ML, work closely with customers to integrate models into their technology stack, make direct business impact with a high level of product ownership, and be a founding member of a fast-growing team while wearing many hats.
Forward deployed engineer (UK)
Serve as WRITER's embedded technical AI specialist onsite, building strong daily relationships with client engineering, AI COE, and business teams, and acting as the primary technical point of contact for all WRITER-related matters. Own the end-to-end release workflow from WRITER platform updates through production deployment across all client environments, including coordinating dual-track updates, making critical go/no-go decisions, and providing hands-on troubleshooting. Design, implement, and maintain the client's custom front-end setup, production retrieval, and agentic systems, rigorously testing, validating, and troubleshooting AI-specific features like LLM applications, RAG performance, and prompt engineering. Navigate client security, risk, and compliance approval processes by working with Information Security teams to obtain necessary approvals, documenting compliance artifacts, and streamlining workflows to meet regulatory requirements. Reduce operational pain points, contribute to long-term migration strategies toward standard WRITER-managed environments, and gather real-world deployment feedback to influence WRITER's product direction.
Senior Full-Stack Engineer - Physical AI
As a Senior Full-Stack Engineer at Encord, you will work on building tools for the complete Physical AI data stack, which includes data acquisition, ingestion, curation at scale, 3D rendering, annotation, and verification. You will solve problems related to large scale efficient data transfer and storage, complex domain modeling, applying machine learning models, and optimizing performance in web browsers. You will handle challenging front-end tasks such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You will operate with a high degree of autonomy, crafting performant, reliable, and maintainable solutions to both technical and product challenges. You will have end-to-end ownership of your projects, from product design and architectural decisions to deployment, monitoring, and measuring impact on users, covering the full stack including deployment and styling. You will work closely in a small, highly collaborative team, often working autonomously to drive your projects forward while also collaborating and supporting your teammates. Your work will have a direct and tangible impact on customers and the company’s trajectory.
Product Manager
The role involves translating AI research into product solutions by working closely with client-side researchers on post-training, evaluations, and safety/alignment, and building the necessary primitives, data, and tooling. The candidate will partner deeply with core customers and frontier AI labs to tackle technical problems related to model improvement and deployment. Responsibilities include shaping and proposing model improvement work by translating customer and research objectives into clear, technically rigorous execution plans and statements of work. The role also requires leading the end-to-end lifecycle from discovery, writing product requirement documents (PRDs) and technical specifications, prioritizing trade-offs, running experiments, shipping initial solutions, and scaling pilots into repeatable offerings. The candidate will independently run high-stakes engagements with senior stakeholders, define success metrics, surface risks, and drive programs to measurable outcomes. Collaboration across research, platform, operations, security, and finance teams is essential to deliver reliable, production-grade results. Additionally, the role includes building robust evaluation frameworks, closing the loop with data quality and feedback, and sharing learnings that enhance technical execution across accounts.
Customer AI architect (post-sales) (UK)
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions. Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences the product roadmap and drives continuous innovation. Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations. Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment.
AI engineer (UK)
As an AI engineer at WRITER, you will architect, develop, and deploy high-performance, scalable AI applications into production environments with robust integrations to the company's end-to-end platform. You will drive the development of intelligent agents and AI-powered features by translating complex research into practical solutions for customers. Collaborating closely with research scientists, data scientists, and product managers to define technical requirements and deliver features addressing critical business needs is required. Additionally, you will contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain market leadership in enterprise generative AI. You will also champion responsible AI practices including bias detection, explainability, and safety alignment to ensure AI is trustworthy and ethical.
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