Remote AI training and data labeling jobs

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.

Write and review evaluation tasks built on journal manuscripts, abstracts, posters and decks, and judge AI-drafted sections against ICMJE, GPP and EQUATOR guidelines and the source CSRs and TFLs. Five years of publication authoring at a sponsor, CRO or MedComms agency. Fifty openings, contractor, $50–80/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.

A full-time research post at micro1: design and own the benchmarks, clinical quality rubrics and validation protocols that measure AI medical reasoning and decision support, and research where models fail. Advanced healthcare degree (MD, DO, PhD, MPH, PharmD) and research experience required. Base salary $200,000–250,000 plus equity.

Annotate healthcare regulatory documents, analyse HIPAA, Stark Law and Anti-Kickback questions, refine compliant contract language and flag legal risk in scenarios for AI training. A US JD, US bar admission and healthcare practice at a BigLaw or top healthcare firm preferred. 10 openings at $140–400/hour.

Annotate text, audio and video for behavioural cues (tone, gesture, speech patterns), explain what they signal, and grade AI responses for behavioural accuracy. Behavioural therapists, counsellors and acting coaches are named as ideal. $20–70/hour, part-time or full-time contract, open to North America, Latin America, the UK, Europe and Oceania.

Annotate medical records with ICD-10 and CPT codes, apply E&M leveling, and flag guideline edge cases to build and validate AI training datasets. An active AAPC CPC is required, plus access to current ICD-10 and CPT code books. Thirty openings, contractor, $25–40/hour.

Write and review evaluation tasks from DSURs, PSURs/PBRERs and case-level safety data: check ICH E2F and E2C(R2) structure, reconcile case counts across sections, and judge signal and benefit-risk conclusions, to train AI safety-writing tools. Five years in PV or drug safety. Forty openings, contractor, $70–80/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.

Evaluate AI-generated psychological content for clinical accuracy, bias and cultural fit, and build case studies and therapeutic dialogues for training. PhD in psychology or MD with psychiatry residency, plus native fluency in one of 16 listed languages and advanced English. 70 openings, contractor, $100–200/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.

Clinicians whose main practice is young abuse survivors review AI mental-health guidance on abuse cases, build case scenarios, and write trauma-informed best-practice content so models respond safely to vulnerable youth. MD or PhD (psychology or social work) preferred. $100–200/hour, 8 openings, contractor, remote.

Write and grade evaluation tasks built on real health authority requests and sponsor responses, judging whether a drafted answer would survive a regulator. Five years of clinical submissions experience is the stated bar. Thirty openings, contractor, $50–80/hour, remote.

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.

Check inpatient records (FHIR data, HPI, PMH, assessments and plans) against the claims made about them, flag missing or inconsistent information, and apply guidelines consistently to improve AI training data. Board-certified MD or DO with inpatient work in the last two years. Thirty openings, contractor, $70–100/hour.

Bring ambulance dispatch experience to an AI training project: triage and route simulated emergency requests across radio, phone and chat using standard protocols, document each decision, and help set the quality bar for realistic emergency-communications data. Certification not required. $30–55/hour, 50 openings.

Audit outpatient professional fee coding, review other coders' work, and make calibrated calls on E/M leveling, modifier -25, time vs MDM and NCCI bundling, at about ten reviews a day, for AI training data. CPC required, CPMA preferred, ten years' coding or academic medical centre audit experience. Fifty openings, $30–40/hour.