Radiologist (MD) — Medical Imaging AI Annotation & Evaluation
Mercor is hiring board-certified Radiologists for non-clinical work developing and evaluating clinical AI systems in medical imaging. You will apply your diagnostic expertise to annotation, reference-report authoring, and evaluation work that sets the standard these systems are measured against.
Hiring companyMercor
About the role
This is a non-clinical role — no direct patient care, and no responsibility for live diagnosis.
This is a shared expert pool. After onboarding you may be matched to any of several concurrent imaging workstreams based on your subspecialty, availability, and interest. You are not committing to a single project, and you may move between streams as priorities shift.
Work varies by workstream and may include:
Task length varies by stream, from roughly 10 minutes for structured labelling up to an hour for full case authoring. You will get a specific throughput target for whichever stream you are matched to.
Imaging is where medical AI is closest to real clinical deployment, and where a confidently wrong answer costs the most. The reference standard these models get graded against is written by radiologists — here you would be writing it.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
Responsibilities
- Case interpretation with written reasoning — working through imaging-based clinical cases that pair studies with patient context, recording your diagnostic reasoning step by step rather than only the final impression.
- Structured finding labelling — reading studies and labelling discrete findings against a defined schema: presence, location, laterality, severity, and interval change.
- Reference report authoring — writing the report a study should produce, to serve as ground truth for evaluation.
- Output review — judging AI-generated reads against clinical standards, flagging hallucinated findings, missed findings, and unsupported certainty.
- Grading criteria and guideline authoring — defining what separates an excellent read from a merely acceptable one, so judgment can be applied consistently at scale.
- Difficult-case writing — constructing imaging questions that probe the limits of current model reasoning.
Required skills
- MD or DO with completed diagnostic radiology residency.
- Board certification — ABR, or the equivalent certifying body in your jurisdiction — or board-eligible with residency complete.
- Active, unrestricted medical license in your country of practice.
- 2+ years post-residency reading independently.
- Currently or recently practicing, with a record of high-volume independent reads.
- Precise command of structured reporting standards (BI-RADS, LI-RADS, Lung-RADS, TI-RADS and similar, as relevant to your subspecialty).
- Written and spoken English fluency.
- Minimum 15 hours per week, with the ability to concentrate hours when a stream is time-boxed.
Preferred skills
- Fellowship subspecialty training — neuroradiology, musculoskeletal, body/abdominal, chest, breast, or pediatric imaging.
- U.S. licensure and board certification.
- Prior medical image annotation, AI evaluation, or dataset curation experience.
- Teaching, rubric design, or resident assessment experience.
- Published research or sustained technical writing (please link a sample).
Eligibility
Work arrangement: Fully remote
Eligible locations: Worldwide
Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Compensation details
$200–$400 per hour.
- Payments are weekly on Stripe or Wise based on services rendered.
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