Remote AI training and data labeling jobs

Build code-based drug-discovery benchmark tasks in Docker, curate ChEMBL and PubChem data, and review AI output on SAR, ADMET and docking. Real Python engineering is required, not just analysis scripts. Contractor, remote, 50 openings, $80–110/hour.

Frontier benchmark work on the PXP model, Rydberg blockade and quantum many-body scars: symmetry-resolved exact diagonalization (QuSpin preferred) at L ≥ 26, block-diagonalization and Z2-state overlaps. Ten openings, contractor, $100–170/hour, remote.

Write and review advanced problems, solutions and proofs (calculus and beyond) for AI training data, with research-level rigour. Contractor, remote, open worldwide in tone, 100 openings, $80–90/hour. A BSc, MSc or PhD in mathematics and a record of proofs or papers.

A single opening on a frontier gravity benchmark: first-order Palatini gravity with tetrads and spin connections, the Pontryagin density, dynamical Chern-Simons gravity, Friedmann equations with torsion and quadratic inflation, integrated numerically in Planck units. Contractor, $80–160/hour, remote.

Act as the senior referee: adjudicate contested physics arguments and competing solutions, say which approach holds under which assumptions, and write evaluations fit for review by other senior physicists. For associate or full professors and PIs with an active research programme. Six openings, contractor, $80–160/hour.

The reviewer seat on micro1's physics work: critique derivations and arguments written by researchers or AI, find the errors and unjustified steps, and write precise feedback, cross-checking in SymPy and Python. Postdocs and junior faculty, US, Canada and UK focused. 30 openings, contractor, $80–150/hour.

Build life-science benchmark tasks from real lab protocols and raw data (design critiques, protocol analysis, data interpretation) and write the rubrics that grade AI agents. Paid per accepted task, quoted at $30–50/hour. Bachelor's or Master's plus two years of lab research. 50 openings.

Explain physics to an AI and grade what it writes back: write clear explanations of hard concepts, build physics training material, and review model output for conceptual accuracy. A physics PhD is the preferred bar. 100 openings, contractor, $70–90/hour, fully remote.

Research-level AI training work on magnetic order: magnetic structure factors, propagation vectors, magnetic space groups in BNS notation checked against MAGNDATA, AFM/FM classification, neutron scattering and MOKE signatures. Ten openings, contractor, $80–160/hour, remote.

Lend lab chemistry expertise (reactions, synthesis, separations, analytical methods) to AI training data, judging experimental reasoning and explaining it plainly. Contractor, remote, 100 openings, $70–90/hour. A PhD is preferred and hands-on wet-lab experience is expected.

Microbiologists apply knowledge of bacteria, fungi and algae, pathogenesis and antimicrobial effects to rubric-based review and documentation for AI training. Contractor, remote, 100 openings, $70–90/hour. A bachelor's degree in biology, microbiology or chemistry is the stated minimum.

Write and review evaluation tasks that make an AI derive, reproduce or validate clinical trial statistics from TFLs and CDISC datasets, and catch mismatches between outputs, the SAP and the CSR narrative. Remote contractor, $60–65/hour, 30 openings; 5+ years in clinical trials and SAS or R preferred.

Research-level benchmark work on bacterial population growth: two-state growth-rate switching with gamma-distributed waiting times, the Euler-Lotka equation, renewal theory and first-passage times. Solver, Auditor or Adjudicator roles. Ten openings, contractor, $80–160/hour, remote.

Curate and annotate drug-discovery datasets, judge AI answers on medicinal chemistry and molecular analysis, and write feedback that improves the model. Contractor, remote, 30 openings, $90–120/hour. An advanced degree and cheminformatics or omics experience are the preferred background.

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.

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.