Remote AI training and data labeling jobs

Turn hands-on CRISPR, cloning and genotyping know-how into expert content and assessments that train AI on molecular and cell biology. Contractor, remote, 100 openings, $70–90/hour. A bachelor's degree plus real wet-lab gene-editing experience is the bar.

Build realistic biostatistics benchmark tasks (clinical trial analysis, regulatory review, observational studies) with real datasets and 35+ item grading rubrics. Paid per accepted task, quoted at $60–100/hour. MS or PhD plus four years in pharma, CRO, hospital or academic medicine. 50 openings.

Red-team frontier AI models on chemical misuse: write benign, dual-use and adversarial prompts from forensic casework, judge the model's answers against a policy standard, and write reference answers. Remote contract at $65–75 per task.

Solve, audit or adjudicate research-level problems in holography: AdS/CFT, on-shell gravitational actions, the Weyl-Fefferman-Graham gauge and tensor algebra of boundary curvature invariants for holographic Weyl anomalies in d ≤ 8. Ten openings, contractor, $80–160/hour, remote.

Annotate biological datasets, write problem sets and case studies grounded in real medicinal chemistry, and check AI answers for scientific accuracy. Contractor, remote, 30 openings, $90–120/hour. A PhD, PharmD or MSc and drug-discovery experience are preferred.

Solve advanced physics problems from your own specialism and write them up in LaTeX, verified with SymPy, Python and Jupyter, for AI training. Open worldwide across a dozen subfields, 10–15+ hours a week over an 8–10 week project. 14 openings, contractor, $100–200/hour.

Benchmark problems where error correction meets disordered stat mech: random-bond Ising and Ashkin-Teller models, the toric-code threshold, the Nishimori line, Kramers-Wannier duality and 4-state Potts numerics. Worldwide, part-time 5–10+ hours a week. Ten openings, contractor, $100–200/hour.

Solve hard problems in your own scientific field, build the reference solution in Python, and judge whether an AI's answer is actually correct, catching the wrong assumption or missing constraint rather than just the wrong number. Seven fields qualify, and no specific degree or number of years is required. Global, roughly 15 hours a week.

Advise on ab initio configuration interaction calculations of polarizability, critique atomic-structure work on Yb-171 and Yb-174, and explain sigma versus pi transitions, largely through spoken AI interviews, which on this listing are the work rather than the screening. Worldwide, 5 to 10 hours a week, and the ad asks only for what you can legally share.

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.