Remote AI training and data labeling jobs

Arabic-speaking PhD chemists and biologists write specialised science prompts in Arabic and grade AI answers for accuracy and dual-use safety. Part-time remote at $38–42/hour; Saudi Arabia or MENA preferred, not required. 13 hires this month, the most active listing in the series.

Umbrella listing for Mercor's energetic materials red-team panel: chemists and engineers or operators write benign, dual-use and adversarial prompts, judge frontier AI replies against a policy standard, and write reference answers. Remote contract at $65–75 per task; 16 hired this month.

Write or verify 10-option multiple-choice benchmark questions in applied maths (signal processing, actuarial science, optimization, climate modeling and more), with chain-of-thought solutions and references. For maths PhDs and doctoral candidates. Remote, 10+ hours a week, $61–77/hour.

Author executable scientific-computing problems in ecology, biochemistry and genetics for Sci Code, a new AI benchmark: source a paper, dataset or repo, write the prompt and grading criteria, and keep it only if frontier models mostly fail. PhD plus Python or R, Git and Docker. 6 weeks, 20+ hours a week, $70/hour.

Solve, audit or adjudicate research-level benchmark problems in quantum optics: cascaded optical parametric amplifiers, SU(1,1) interferometers, loss and two-mode squeezing, using Bogoliubov and covariance-matrix methods. Ten openings, contractor, $80–160/hour, fully remote.

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.

The UK posting of Mercor's molecular biology project: design primers, plasmids, gRNAs, mRNA constructs and repair templates as ground truth for a frontier model, and write the rubrics that judge them. PhD strongly preferred, first-author record expected, 20 hours a week. $70–105/hour.

Design the primers, plasmids, gRNAs, mRNA constructs and repair templates that become ground truth for a frontier model, and write the rubrics that judge sequence design quality. PhD strongly preferred, first-author record expected, 20 hours a week minimum. US only, $70–105/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.