Remote AI training and data labeling jobs

A short, one-off evaluation task for mental health professionals: compare pairs of simulated clinical conversations and judge which is more realistic. The ad says it takes up to 30 minutes. Remote contract at $100/hour, for clinicians with a relevant degree and practical clinical experience.

Interpret dermatology cases from images and history, annotate lesions to a schema, grade AI assessments and write the criteria they are judged by. Non-clinical, shared expert pool, open worldwide. Board-certified or board-eligible, 3+ years post-residency, 15 hours a week minimum. A flat $270/hour.

Healthcare back-office specialists (coding, prior authorization, denials and appeals, payer operations) design realistic operational scenarios, build the supporting records, and author and evaluate tasks that train AI agents. 2+ years and currently in role, 10 hours a week. $50–65/hour.

Paid pilot for a biotech and pharma research team: create and critique rubrics that assess commercial drugs and development programs, judge investment-style theses, and assess 5–10 companies end to end. For specialist-fund biotech analysts with 5+ years. About 10–20 hours over 1–2 weeks, $120–200/hour.

Paid pilot for board-certified, practising physicians with deep therapeutic-area expertise: interpret trial endpoints, judge whether results would change prescribing and real-world uptake, and write rubrics that evaluate AI analysis of drugs. 10–20 hours over 1–2 weeks. $150–230/hour.

Hands-on preclinical scientists from companies that develop their own drugs annotate R&D data and model outputs, and advise an AI lab building foundation models for drug discovery. Any modality, 5+ years industry R&D, about 10 hours a week. $60–100/hour.

Preclinical scientists with direct antibody-drug conjugate or bispecific antibody experience annotate R&D data and advise an AI lab building drug discovery foundation models. In-house asset developers only, 5+ years industry R&D, about 10 hours a week. $60–100/hour.

Nuclear medicine physicists, radiopharmacy staff and cyclotron RSOs red-team frontier AI models: write benign, dual-use and adversarial prompts from medical isotope work, judge model replies against a policy standard, and write reference answers. Remote contract at $65–75 per task.

Board-certified radiologists label findings, write reference reports, grade AI-generated reads and author rubrics for medical imaging AI. Non-clinical, remote worldwide, hourly contract at $200–400/hour with a 15-hour weekly minimum. Weekly pay via Stripe or Wise.

Paid pilot for US market access and pricing professionals: set and pressure-test gross-to-net and formulary-tier assumptions by drug class, judge whether coverage and rebating assumptions match real payer behaviour, and write rubrics for AI drug analysis. 5+ years, 10–20 hours. $175–200/hour.

Paid pilot for US epidemiologists: size patient populations for drugs and indications (prevalence, incidence, diagnosed to treated to addressable), judge whether estimates are sound and well sourced, and write rubrics for AI drug analysis. 5+ years and a graduate degree, 10–20 hours. $150–175/hour.

Write or verify hard ten-option multiple-choice questions for an AI benchmark across clinical medicine, imaging, pharmacovigilance, health economics and rehabilitation, with step-by-step solutions and references. MD, DO, PhD or doctoral candidate, 10+ hours a week, asynchronous. $94–119/hour.

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.

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.