Radiologists: Medical Image Review for AI Benchmarks
Listing checked October 23, 2026 · pay as published by Terac
Overview
Terac runs a paid study that tests how well diagnostic imaging algorithms perform, and the work depends on accurate reads from practicing radiologists. You review de-identified images and clinical cases on a secure remote platform, then score each case with a structured rubric. Your assessments create the ground truth that judges these diagnostic imaging algorithms, including key anatomical and pathological findings. The workflow has no live sessions, so you can complete cases at your own pace.
What You'll Do7
- 1Read de-identified medical images from a range of clinical modalities.
- 2Supply an expert clinical read and diagnostic assessment for each case.
- 3Apply a structured scoring rubric to record your findings.
- 4Flag relevant anatomical and pathological details that shape the diagnosis.
- 5Build reference evaluations that serve as ground truth for algorithm benchmarks.
- 6Assess specific diagnostic criteria defined in the study protocol.
- 7Work through cases at your own pace without live sessions.
Requirements7
- 1Hold an active license and current practice as a radiologist or specialized imaging physician.
- 2Bring strong clinical diagnostic experience across complex cases.
- 3Read and interpret a wide range of medical imaging studies.
- 4Work as a general radiologist, neuroradiologist, musculoskeletal radiologist, or another imaging subspecialist.
- 5Apply standardized rubrics to complex diagnostic cases.
- 6Provide structured, rubric-based evaluations of clinical findings.
- 7Meet the study's USA eligibility requirement.
Who Should Apply
Licensed radiologists in active practice fit this study, including general radiologists and subspecialists in neuroradiology or musculoskeletal imaging. The role suits clinicians who read complex cases and can translate findings into a standardized rubric.
Salary Insight
Terac does not list a rate or salary for this study. Compensation details come up later in the application process.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
Pay not disclosed
Most AI Training roles pay $40–$95 per hour.
Based on 975 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,097
- Listed in last 30 days
- 562
- Remote
- 98%
Hiring most right now: micro1 (293) · SME Careers (253) · Mercor (142)
Most requested skills · share of roles
- ai evaluation14%
- ai training14%
- llm evaluation12%
- data annotation11%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Confirmed during Terac profile screening.
Required Skills
Application Tip
Name your subspecialty, years of active radiology practice, the modalities you read most, and any experience with structured scoring rubrics or peer review. Add one concrete example of a complex case you interpreted.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
Terac
VerifiedRadiologists: Medical Image Review for AI Benchmarks
Terac needs practicing radiologists to turn expert reads into scoring rubrics that ground diagnostic benchmarks for new clinical tools. You work through a secure remote platform, reviewing de-identified scans alongside the clinical case attached to each one across several imaging modalities. Every case gets your own interpretation plus a structured scoring rubric applied against the criteria provided. The findings you submit become reference evaluations, which means the benchmarks rest on sound clinical reads instead of guesswork. Work runs on your own schedule, so review blocks fit around clinical duties.
Terac
VerifiedRadiology Residents: Medical Image Evaluation for AI Benchmarks
Terac is running a paid study that turns expert radiology reads into clinical reference benchmarks used to validate clinical decision tools. Residents review de-identified medical imaging studies with their matching case notes, write a structured read for each one, and score the findings against a shared rubric. The point is to anchor diagnostic scoring in current radiological practice instead of guesswork. Reviews happen on a secure remote platform, and you set your own hours inside the study window.
Terac
VerifiedRadiology Residents: Medical Image Evaluation for AI Benchmarks
Terac seeks current radiology residents for a paid remote project that scores de-identified medical images and clinical cases. You review each case on a desktop, record your diagnostic read, and apply a structured rubric that becomes a reference evaluation for AI benchmarking. Residents from every training year and from diagnostic radiology, interventional radiology, and neuroradiology tracks can contribute. The work centers on medical imaging, clinical diagnostics, and AI benchmarking.
Handshake AI
VerifiedRadiologists
Handshake AI enlists practicing radiologists to shape how AI models handle real clinical reasoning. You bring your diagnostic imaging background in X-ray, CT, MRI, ultrasound, and nuclear medicine, then use it to judge what a model produces and where it falls short. Tasks mirror actual radiology work: image interpretation, differential diagnosis, protocol selection, and report writing. The program runs all year, with projects opening as different specialty areas come up, so you can take work alongside a current clinical post. Everything happens remotely and on a schedule you set.
Mercor
VerifiedRadiologist
Mercor places board-certified radiologists on a project with a leading AI lab, judging how well health models answer clinical questions. You read de-identified patient charts, then score model responses for accuracy, safety, and fit with current standards of care. Each case asks you to compare two answers and explain which one holds up better. Work happens remote on an hourly basis with flexible part-time hours, and the start date is immediate.
SME Careers
VerifiedRadiologist SME for AI Imaging Review and Content
This remote, hourly contract places you as a Radiology SME to review AI-generated imaging responses and to craft expert content across modalities such as CT, MRI, and ultrasound within a secure PACS workflow. You will assess accuracy, safety, and reasoning in step-by-step clinical problem solving, delivering precise written feedback on imaging appropriateness, differential diagnosis, and protocol choices. The role emphasizes prudent judgments around contrast use, radiation dose, and pregnancy considerations, with meticulous attention to missed findings and clear explanations. You will collaborate remotely, contributing to AI model evaluation, training data improvements, and peer review workflows to help shape leading radiology content and AI solutions.