AI Jobs in United States

Find top AI jobs in United States across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 4657 new AI opportunities posted on The Homebase

Client Parter

New
Top rated
X AI
Full-time
Full-time
Posted

Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, record audio or video sessions as part of the role.

$45 – $100 / hour
Undisclosed
HOUR

(USD)

Palo Alto, United States
Maybe global
Hybrid

Client Account Manager (Contract)

New
Top rated
X AI
Contractor
Full-time
Posted

Use proprietary software applications to provide input and labels on defined projects, support and ensure the delivery of high-quality curated data, play a pivotal role in supporting and contributing to the training of new tasks by working closely with technical staff to ensure the successful development and implementation of cutting-edge initiatives and technologies, interact with technical staff to help improve the design of efficient annotation tools, choose problems from economics fields aligned with expertise focusing on macroeconomics, microeconomics, and behavioral economics, and regularly interpret, analyze, and execute tasks based on given instructions. Additionally, provide labeling and annotating of data in text, voice, and video formats to support AI model training, sometimes involving recording audio or video sessions as required by the role.

$45 – $100 / hour
Undisclosed
HOUR

(USD)

Palo Alto, United States
Maybe global
Hybrid

Senior Sales & Agency Manager Spain

New
Top rated
X AI
Full-time
Full-time
Posted

Use proprietary software applications to provide input and labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives and technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services that include labeling and annotating data in text, voice, and video formats to support AI model training, including recording audio or video sessions as required.

$45 – $100 / hour
Undisclosed
HOUR

(USD)

Palo Alto, United States
Maybe global
Hybrid

Research Engineer, Monetization

New
Top rated
OpenAI
Full-time
Full-time
Posted

As a Research Engineer in OpenAI's Monetization Group, you will design and deploy advanced machine learning models to solve real-world problems, bringing research from concept to implementation and creating AI-driven applications with direct impact. You will collaborate closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Your work includes implementing scalable data pipelines, optimizing models for performance and accuracy to ensure they are production-ready, and monitoring and maintaining deployed models to ensure they continue delivering value. You will stay ahead of developments in machine learning and AI by engaging with the latest research, participate in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.

$250,000 – $555,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Senior Software Engineer - Internal Tools & Productivity

New
Top rated
Scale AI
Full-time
Full-time
Posted

Translate research into product by working with client-side researchers on post-training, evaluations, safety/alignment, and building necessary primitives, data, and tooling. Partner closely with core customers and frontier AI labs to address complex technical problems related to model improvement, performance, and deployment. Shape and propose model improvement work through clearly defined technical proposals, scope of work, and execution plans. Own the end-to-end lifecycle of projects, including discovery, writing product requirement documents (PRDs) and technical specifications, prioritizing trade-offs, conducting experiments, shipping solutions, and scaling pilots into repeatable offerings. Lead high-stakes technical engagements by running working sessions with senior stakeholders, defining success metrics, identifying risks early, and driving programs to measurable outcomes. Collaborate across multiple departments such as research, platform, operations, security, and finance to deliver reliable production-grade results. Build rigorous evaluation frameworks, maintain data quality feedback loops, and share insights to improve technical execution across accounts.

$201,600 – $241,920
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Power Architect

New
Top rated
OpenAI
Full-time
Full-time
Posted

Oversee power architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to maximize performance under power envelope. Build chip and system-level power models grounded in empirical data and experience to guide organization-wide energy efficiency strategy. Collaborate with chip and platform architecture/design teams to explore and implement power management features, including the specification and implementation of digital/mixed-signal IP, sensing and telemetry, firmware/system software, and silicon characterization methodology. Partner with silicon design and implementation teams to optimize performance under power envelope through clocking and power domain architecture, voltage/frequency selection, microarchitecture and physical-design driven power reduction, post-silicon voltage margin optimization, and workload-informed power optimization. Work with ecosystem partners (EDA, ASIC, IP, component vendors) to drive innovations that can improve energy efficiency.

$295,000 – $445,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

KYC & Transaction Monitoring Analyst, X Money

New
Top rated
X AI
Full-time
Full-time
Posted

Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services that include labeling and annotating data in text, voice, and video formats to support AI model training, sometimes involving recording audio or video sessions.

$45 – $100 / hour
Undisclosed
HOUR

(USD)

Palo Alto, United States
Maybe global
Hybrid

Fiber Operations Area Manager

New
Top rated
X AI
Full-time
Full-time
Posted

Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions.

$45 – $100 / hour
Undisclosed
HOUR

(USD)

Palo Alto, United States
Maybe global
Hybrid

Senior Software Engineer, Applied AI

New
Top rated
Aircall
Full-time
Full-time
Posted

Partner with internal stakeholders to understand their daily workflows to surface and document those that can be automated with AI. Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations. Learn and contribute to prompt engineering strategies, with guidance on building agentic workflows, memory systems, and multi-step reasoning. Build and operate MCP Servers that can be called by AI Agents. Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks. Build and operationalize AI solutions with retrieval techniques (e.g., RAG, vector DBs) for context-aware applications. Prototype, test, and optimize AI-powered applications, including retrieval-augmented generation, workflow automation, and agentic experiences. Collaborate with cross-functional teams to align AI features with user needs and business goals, gaining exposure to product and platform thinking. Stay current on advancements in AI technologies, frameworks, and best practices, and evangelize AI capabilities internally and externally. Provide technical support, documentation, and training to facilitate adoption and effective use of AI solutions. Participate in technical discussions, architecture reviews, and sprint planning. Contribute to knowledge sharing and technical documentation.

$181,000 – $220,000
Undisclosed
YEAR

(USD)

Seattle, United States
Maybe global
Onsite

Technical Product Manager, AI

New
Top rated
Zoox
Full-time
Full-time
Posted

Lead a cross-functional team including engineers, designers, data scientists, and researchers to develop generative AI-enabled solutions for external riders and internal operations. Drive discovery into unmet needs, shape product vision, define priorities to achieve customer and business objectives, establish success metrics, and explore technical feasibility. Work closely with leadership across Product & Experience, Software, and Vehicle Engineering to implement AI solutions for the ride-hail service. Design AI-generated capabilities to enhance consumer experience, utilize data and market insights to guide product strategies, integrate user research into product requirements, oversee planning and management of tools and product scalability, collaborate with engineers and designers, coordinate cross-functional teams to meet milestones, lead the creation and launch of generative AI products, and develop and analyze performance metrics to gauge product success.

$163,000 – $196,000
Undisclosed
YEAR

(USD)

Foster City, United States
Maybe global
Onsite

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Frequently Asked Questions

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[{"question":"What types of AI jobs are available in United States?","answer":"The US AI job market features diverse roles despite recent hiring slowdowns. Common positions include machine learning engineers who build predictive models, AI engineers who develop and deploy AI systems, data scientists who extract insights from complex datasets, and emerging generative AI specialists who work with tools like GPT and DALL-E. While entry-level hiring faces challenges amid automation trends, experienced specialist positions remain available. Companies increasingly seek professionals who can integrate AI into existing business operations rather than just technical implementation. The market distinguishes between those building AI systems and those applying AI within specific industries like healthcare, finance, and manufacturing."},{"question":"Are there remote AI jobs available in United States?","answer":"Remote AI jobs exist throughout the US market, offering flexibility that many tech professionals seek. While the research doesn't specify exact remote work percentages, the AI sector has embraced distributed teams more readily than traditional industries. Many organizations maintain hybrid models where AI engineers, data scientists, and machine learning specialists can work remotely while occasionally meeting for collaboration sessions. Companies developing generative AI tools particularly embrace remote arrangements to access talent nationwide. Job seekers should note that some specialized roles requiring access to specific computing infrastructure or security clearances might still require on-site presence at least part-time."},{"question":"What skills are most in demand for AI jobs in United States?","answer":"US employers emphasize \"AI readiness\" and adaptability as automation reshapes the industry. Technical foundations in Python, PyTorch, TensorFlow, and cloud infrastructure remain crucial, but companies increasingly value applied skills over theoretical knowledge. Experience with generative AI frameworks like Hugging Face and prompt engineering has surged in demand. Data skills—cleaning, structuring, and feature engineering—remain fundamental across roles. Communication abilities have become equally important, as AI professionals must explain complex models to non-technical stakeholders. Amid rapid technological change, employers prioritize candidates who demonstrate continuous learning, problem-solving capabilities, and the judgment to apply AI ethically within business contexts."},{"question":"What is the salary range for AI jobs in United States?","answer":"While specific salary data wasn't provided in the research, AI compensation in the US varies significantly based on several factors. Experience level creates substantial differentials, with senior roles commanding premiums for proven implementation success. Geographic location impacts pay scales dramatically—Silicon Valley and New York typically offer higher compensation than other regions. Industry sector influences packages too, with finance and healthcare often paying more than education or nonprofit organizations. Company size and funding stage matter; established tech giants may offer more stability while well-funded startups might provide equity compensation. Specialized expertise in high-demand areas like generative AI or reinforcement learning typically commands salary premiums."},{"question":"What experience levels are companies hiring for in AI jobs in United States?","answer":"The research indicates US companies currently favor experienced AI professionals over entry-level talent. Mid-career and senior professionals with proven implementation success face less competition as companies prioritize immediate productivity over long-term talent development. Junior roles face particular challenges with new college graduate unemployment reaching nearly 10%, partly due to AI automating routine tasks that traditionally served as entry points. Companies seek professionals who can exercise judgment and solve complex problems rather than perform repetitive tasks. This trend creates a somewhat paradoxical situation where younger candidates may have cutting-edge AI knowledge but struggle to secure positions without practical experience in applying these technologies."},{"question":"How often are new AI jobs posted in United States?","answer":"While the research doesn't provide specific posting frequency data, AI job listings in the US follow distinct patterns. Large tech companies tend to post roles in waves aligned with quarterly planning cycles, while startups post more irregularly based on funding rounds or project needs. Seasonal variations occur with slowdowns during summer and December holidays, while January through March often shows increased activity. Government contractors typically post more positions following fiscal year beginnings. The evolving AI landscape means specialized roles like generative AI engineers or AI ethics specialists appear less predictably than established positions. Job seekers should set up daily alerts to capture opportunities promptly, especially for highly competitive specialized roles."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The Homebase differs from general job boards through specialized AI industry focus and expert curation. Unlike platforms like Indeed or LinkedIn where AI jobs get mixed with thousands of unrelated listings, The Homebase exclusively features artificial intelligence, machine learning, and data science opportunities. Their verification process ensures positions are legitimate AI roles rather than jobs with AI mentioned tangentially. The platform offers contextual industry insights alongside listings, helping candidates understand market trends. While general boards may have more total volume, The Homebase provides quality over quantity with positions pre-screened for relevance. Their specialized focus attracts employers specifically seeking AI talent rather than general recruitment."}]