Radiologists
Listing checked October 23, 2026 · pay as published by Handshake AI
Overview
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.
What You'll Do6
- 1Design expert-level radiology tasks that current AI models fail, built around clinical workflows such as image interpretation, differential diagnosis, protocol selection, and report writing
- 2Score AI-generated answers for clinical accuracy, completeness, and consistency with current radiology practice
- 3Write structured feedback that names the error and explains the correct reasoning
- 4Flag responses that misstate findings, skip key differentials, or propose a protocol a radiologist would reject
- 5Contribute cases and prompts from your own subspecialty area as new projects open
- 6Complete tasks remotely on your own timetable with no set hours or weekly minimum
Requirements7
- 1Completed MD, DO, or equivalent medical degree
- 2Diagnostic radiology residency or fellowship finished or in progress, or board certified or board eligible in radiology
- 3Working depth in at least one subspecialty such as neuroradiology, head and neck, musculoskeletal, chest, cardiac, abdominal, breast, pediatric, emergency, interventional radiology, or nuclear medicine
- 4US work authorization
- 5Strong written communication and close attention to detail
- 6Ability to explain complex radiology concepts in plain, structured prose
- 7Comfort working independently in a remote, asynchronous setup
Who Should Apply
Radiologists with subspecialty depth who want paid, flexible work that uses their clinical judgment rather than their call schedule. Board eligible or board certified physicians, including residents and fellows near the end of training, fit well. US work authorization is required.
Salary Insight
The listed rate is $300.00 per hour, well above typical clinical locum pay and far above general AI annotation work, which reflects the credential barrier here. Bear in mind that hours are project-based and open periodically, so monthly earnings track how many task batches you take on rather than a fixed schedule.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$300/hr
Most AI Training roles pay $40–$95 per hour. This role's pay sits above that range.
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
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- Listed in last 30 days
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Most requested skills · share of roles
- ai evaluation14%
- ai training14%
- llm evaluation12%
- data annotation11%
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Compensation
$300/hr
Required Skills
Application Tip
Name your subspecialty areas outright in your profile, for example neuroradiology or musculoskeletal imaging, and list every modality you read plus any PACS, structured reporting, or clinical decision support tool you use. Mention academic medical center experience, publications, or imaging AI research if you have them, since the posting marks those as application strengtheners.
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