Remote AI training and data labeling jobs

Review and annotate data sets on children's learning and behaviour, judge model output for developmental and cultural accuracy, and write the guidelines that shape how an AI handles the linguistic, cognitive and psychosocial sides of child development. A PhD in the field is required; research or academic background counts, with or without clinical experience.

Review case studies and simulated patient interactions for military and veteran populations, then write the expert feedback, prompts and scenarios that teach a model what good clinical practice looks like, including the cultural nuance this population expects. Asks for a completed psychiatry residency or a psychology PhD, plus direct patient care experience.

Assess adolescent substance use case material, stage severity against DSM-5 SUD and ASAM criteria, and recommend a level of care, separating developmentally normal experimentation from clinically significant patterns, and flagging withdrawal, overdose and safeguarding risks. Wants a licensed clinician with a recent adolescent caseload, not AI experience.

Read adolescent case material and write structured suicide and self-harm risk assessments, applying C-SSRS and formal risk formulation, separating ideation from intent, and recommending escalation pathways and safety planning. The output trains models meant to guide non-specialists. Wants a licensed clinician with a recent adolescent caseload, not AI experience.

Read physician and patient research surveys and say whether the clinical terminology, treatment pathways and response options match how the disease is actually treated. A flat $200/hour, three years in a therapeutic area, and an MD is explicitly not required. Fully remote, on your own schedule.

Produce the decks, models and operating-model work you'd build on a normal engagement, alongside experts from two other disciplines, so the outputs can be turned into the tasks and rubrics that train frontier models. $140–200/hour for 40 hours a week from 14 September to 10 October 2026. You must be based in the UK with the right to work there.

Build and document the production pipelines you'd work on during a normal week, alongside experts from two other disciplines, so the outputs can be turned into the tasks and rubrics that train frontier models. $140–200/hour for 40 hours a week from 14 September to 10 October 2026. You must be based in the UK with the right to work there.

Design and review physician and patient questionnaires (screeners, question wording, response scales, branching logic, respondent burden) and say whether an instrument will actually produce usable data. A flat $140/hour, and therapeutic-area specialism is welcome but not required. Fully remote, on your own schedule.

Build reinforcement learning environments that test whether an AI model can fix bugs, add features, refactor code and tune performance in real repositories, then write the golden reference solution it is graded against. Public open-source contributions are the requirement, not AI experience. Remote contractor work, roughly 15 hours a week.

Stress-test autonomous coding agents: review the code they write, find the edge cases where they break down, and build the rubrics and harnesses used to score them. Task-based, fully remote, 10–40 hours a week at your own pace.

Design the coding benchmarks that decide whether a frontier AI model can actually reason, debug and ship production code, and build the data pipelines behind those evaluations. A three-month remote hourly contract, full-time availability preferred.

Build and maintain the backend services, APIs and data pipelines behind AI training, evaluation and deployment. A fully remote hourly contract at 20–40 hours a week, aimed at engineers with five or more years of production experience.

Solve advanced computational fluid dynamics problems (meshing, turbulence modelling, multiphase flow, heat transfer, solver setup), then judge whether AI-generated answers are engineering-sound and write up what is wrong when they are not. Three years of validated simulation work is the bar, not AI experience. Remote contractor engagement.

Build reinforcement learning environments that test whether an AI agent can fix bugs, implement features, refactor and optimise code while discovering and reasoning over information from real MCP servers. You design the reproducible environment, the deterministic verification and the golden reference solution. Remote contractor work, roughly 15 hours a week, hours of your choosing.

Review and draft complex transactional documents (M&A, private equity and capital markets agreements) and give the structured commentary that teaches a model how a BigLaw associate reasons, including on data privacy and cross-border deals. Asks for a US JD, active bar admission and AmLaw 100 experience. Remote contractor work at the widest pay band on this board.

Write difficult problems in your own field for a top AI lab's language models. Open to PhDs (or equivalent industry experience) in medicine, statistics, AI/ML, computer science, game development or mechanical and aerospace engineering, living in the US, UK, Canada or Australia. Remote hourly contract at $55–80/hour, paid weekly.