This remote role asks clinicians to read de-identified medical scans and accompanying case histories to help build reference standards for diagnostic AI benchmarks. Reviewers apply structured scoring rubrics and submit written evaluations asynchronously through a secure platform. It is aimed at practicing radiologists, imaging specialists, attending physicians, and fellows who interpret diagnostic images in daily practice.
Pay not disclosed
The platform does not publish the pay for this job.
Open to residents of: United States.
You apply on Terac's posting: start its screening from the link in the listing. If you qualify, Terac invites you to the paid tasks.
Official posting: https://jobs.ashbyhq.com/terac/08dfdb9c-3f91-4b7c-9921-db526331df38
Last checked on October 23, 2026.
This role asks radiologists and imaging technologists to read de-identified scans and judge how accurately frontier AI models interpret them. Contributors write structured reports and impressions, then compare them with model output to find errors and gaps. It suits clinicians with hands-on imaging experience who can explain why a machine-generated report is wrong.
This remote contractor role asks dentists to review dental cases, treatment plans and clinical workflows so that AI systems learn accurate dental practice. It is aimed at practicing dentists with hands-on digital dentistry experience and prior work in AI data annotation or model evaluation.
Posted October 19, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This remote, hourly contract asks you to review and grade AI-generated content about healthcare data, electronic health record systems, and clinical workflows. The work helps AI labs make their models more accurate on medical information. It suits health informatics professionals who can judge clinical and technical accuracy and explain their feedback in writing.
This remote contract role asks medical science professionals to review and validate AI-generated biomedical content for accuracy, clarity, and context. It suits people with a background in medical affairs, clinical research, or scientific communication who want to shape how AI handles medical information.
This remote, asynchronous study asks practicing pharmacists to review de-identified clinical cases and pharmaceutical product images, then write expert evaluations and help build scoring rubrics. The results are meant to benchmark medical AI tools that interpret drug data and patient cases. It suits pharmacists from retail, clinical, or specialized hospital settings who can explain clinical reasoning clearly.
Posted October 23, 2026
This remote study asks radiology trainees to read de-identified medical images and clinical cases and record structured diagnostic assessments on their desktop. Their reads will serve as reference evaluations for building and checking benchmarks for diagnostic evaluation tools. It is aimed at current radiology residents with hands-on imaging experience, across training years and sub-specialty tracks.
Posted October 23, 2026
