We're building a research cohort of senior domain experts in security — spanning cryptanalysis and reverse engineering — to help evaluate how frontier AI models reason about hard, real-world expert-level problems.
Remote Technology (AI) Jobs in United States 2026
408 remote jobs open to candidates in United States in Technology (AI). Updated daily.
We're building a research cohort of senior domain experts in ML inference and GPU kernel engineering — spanning inference serving systems, kernel optimization, and large-model deployment infrastructure — to help evaluate how frontier AI models reason about hard, real-world…
Remote contractor role building coding-agent benchmark tasks from production-like repositories: define utility and safety requirements, develop visible and hidden test suites, and analyse rollouts from frontier agents such as Claude Code and Codex. 8+ years experience, 4-8 week engagement, 20 hrs/week with 4-hour PST overlap.
Remote contractor role on a frontier AI data initiative: build Python backends that replicate SaaS tools (Slack, Linear, Jira, Notion, Gmail), author realistic long-horizon tasks from mined workflows, and write evaluation rubrics used to train and evaluate AI agents. $300 per approved task, 2-3 week engagement.
We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimizations of those systems.
Remote contractor role evaluating and improving agentic coding models: reviewing model trajectories, verifying solutions, designing realistic coding tasks, and producing high-quality annotations. 5+ years of software engineering.
What if your hard-won knowledge of how attackers think, move, and succeed could directly shape the AI systems that millions of people will rely on to stay secure? We're looking for Offensive Security Analysts to bring real-world adversarial thinking to frontier AI development.
Evaluate AI-generated reproductions of machine learning research papers, assess technical correctness and research quality, and help improve frontier AI systems using your expertise in ML, AI, or Statistics.
Identity is at the heart of modern enterprise security — and when it breaks, the consequences are serious. We're looking for IAM professionals who deeply understand how identity systems fail in the real world and can help teach AI to reason about those failures accurately.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
Research Engineer (AI Evaluation & Benchmarking) – Google DeepMind RE-Bench Project About the Opportunity We are hiring experienced Research Engineers, AI Researchers, Machine Learning Engineers, Applied Scientists, and Research Scientists to contribute to a cutting-edge AI…
Alignerr partners with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced infrastructure security practitioners to bring their real-world expertise to one of the most impactful frontiers in tech: AI security…
We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture?
We're looking for experienced vulnerability management and security operations professionals to help evaluate and improve AI systems trained on cybersecurity content.
Apply QA and test automation expertise to AI datasets — validate testing content, annotate automation workflows, and improve software-quality AI models.
Apply database and SQL expertise to AI training — validate query and schema content, annotate data-engineering examples, and improve technical AI models.
Contribute mobile development expertise to AI datasets — validate code and architecture content, annotate technical examples, and improve coding AI models.
Apply DevOps and SRE expertise to AI training — validate infrastructure and reliability content, annotate technical workflows, and improve engineering-focused AI models.
Job Title: AI Response Evaluator for Cyber Security Threat Intelligence Location: Remote Job Type: Task-Based Contract (Make your own hours: 5 hours per week minimum) Overview: We are seeking a highly skilled and motivated individual to join our team as an AI Response Evaluator…
At TELUS Digital, we are advancing the future of Artificial Intelligence by helping AI systems understand, process, and generate human speech with greater accuracy and naturalness.
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve complex problems?
What if your precision with configuration files and structured data could directly influence how AI understands and generates code for engineers around the world?