OpenJob database
Filter by language, expertise, location eligibility and work mode. Pay and verification details are shown consistently.
Opportunities
Remote contract work for junior lawyers on an AI training project: annotate U.S. legal documents and case law, cite-check in Bluebook format and evaluate legal writing samples and AI outputs. No prior AI experience is required.
Remote contract work for U.S. law students on an AI training project: annotate U.S. legal documents, draft and edit legal content, and cite-check in Bluebook format. No prior AI experience is required.
Remote contract work for senior marine surveyors on an AI training project: assess cargo and container imagery, read draft marks and tank gauges, and write survey reports explaining each surveyor's call. No prior AI experience is required.
Remote contract work for cargo and parcel claims examiners on an AI training project: review air waybills, shipment and delivery photos, and draft custody and liability determinations. No prior AI experience is required.
Remote contract work for senior insurance claims experts on an AI training project: review disputed-fault auto claims, property and catastrophe damage and contents valuation, and write adjuster-style determinations. No prior AI experience is required.
Remote contract work for mathematicians on an AI training project: create, solve and validate advanced mathematical and computational problems using Python and command-line tools. About 15 hours a week, flexible schedule.
Remote contract work for U.S. macroeconomists on an AI training project: interpret U.S. economic releases (BEA, BLS), Treasury yield curves and Federal Reserve communications, and apply that expertise to research tasks.
Remote contract work for simulation experts on an AI training project: build 3D assets and environments in Isaac Sim, Gazebo, MuJoCo or similar, and tune physical parameters so they match real-world behavior. No prior AI experience is required.
Part-time remote work (20 hours a week on weekdays) with a leading AI lab's research team: design hard biology tasks and benchmarks on cloning, CRISPR design, functional genomics and cell-based assays, write reference solutions and evaluate AI models' reasoning.
Remote contract work for generalists on an AI training project: carry out real-world online tasks with AI tools (including purchase and cancellation workflows, with reimbursement procedures), document them with screenshots and give structured feedback on AI outputs. micro1 lists 50 openings.
Part-time remote work (20 hours a week) with a leading AI lab's research team: design chemistry tasks and benchmarks on route design, reaction optimization and spectroscopic characterization, write reference solutions and evaluate AI models' chemical reasoning.
Full-time (40 hours a week, no other engagements) remote AI training work for ML systems engineers, open worldwide: design and solve hard tasks on accelerator kernels, profiling, distributed debugging and LLM inference serving, and review ML systems solutions. JAX, XLA or TPU experience is especially valued.
Full-time (about 40 hours a week) remote role helping a leading AI lab evaluate generative video models: set quality standards for color consistency, skin tones, pacing, scene cuts and HDR, curate hard benchmark examples and critique model output.
Full-time (about 40 hours a week) remote role helping a leading AI lab evaluate generative video models: define standards for VFX detail, compositing, simulation, previs and concept art, curate hard examples and critique generated footage frame by frame.
Full-time (about 40 hours a week) remote role helping a leading AI lab evaluate generative video models: define standards for acting realism, blocking, screen direction, eyelines and continuity, curate hard examples and write notes on generated scenes.
Full-time (about 40 hours a week) remote role helping a leading AI lab evaluate generative video models: define standards for lenses, camera motion, lighting and exposure, curate hard examples and critique generated footage shot by shot.
Remote, asynchronous AI research work for physicists: write or verify rigorous multiple-choice questions with step-by-step solutions and references in fields such as semiconductors, photonics, quantum optics, plasma physics and geophysics. 10+ hours a week.
Lead a pod of trainers building terminal-based physics tasks for Terminal Bench Science: review every task end to end (datasets, simulation inputs, environments, reference solutions, automated tests) for physical correctness, reproducibility and grader reliability, and coach trainers.
Lead a pod of 5–10 trainers building terminal-based mathematical tasks for Terminal Bench Science: review problem statements, environments, reference solutions and automated tests for correctness, stability and reproducibility, design graders and mentor trainers.
Non-coding remote project: evaluate AI responses in single- and multi-turn conversations against safety policies, give 1–5 ratings and write short evidence-based justifications. Content includes sensitive topics such as self-harm, violence and abuse. Hourly pay; 1–2 weeks with possible extension, starting around 23 October.