Radiology Residents: Medical Image Evaluation for AI Benchmarks
You'll start with a short screening interview
We're running a paid study on medical imaging diagnostics to build high-quality clinical reference benchmarks. This work directly supports the validation of advanced clinical tools by establishing reliable scoring rubrics based on expert reads. Your input will ensure these evaluations are grounded in rigorous, modern radiological practices.
You will review a series of de-identified medical images and associated clinical cases through a secure remote platform. For each case, you will provide a detailed expert read and fill out specific scoring rubrics. The task involves evaluating findings, noting diagnostic certainty, and structuring your observations into a standardized reference format. All reviews are conducted asynchronously, allowing you to complete the evaluations at your own pace within the study window.
We are looking for current radiology residents with strong clinical diagnostic skills. We welcome residents across all years of training, as well as those pursuing sub-specialty fellowships in areas like neuroradiology, musculoskeletal, or body imaging. Ideal participants are comfortable navigating digital diagnostic environments and articulating structured clinical findings.
- Review de-identified medical images and patient clinical cases
- Provide structured expert reads for assigned clinical scenarios
- Complete standardized scoring rubrics to benchmark diagnostic findings
- Articulate diagnostic reasoning and clinical confidence levels clearly
- Current radiology resident or fellow
- Comfortable interpreting complex medical images and clinical case notes
- Familiar with standard diagnostic reporting formats and medical terminology
- Able to complete detailed analytical tasks independently in a remote setting
- You will be engaged as an independent contractor.
- This is a fully remote opportunity that can be completed on your own schedule.
- Opportunities can be extended, shortened, or concluded early depending on needs and performance.
- Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are processed weekly based on services rendered.
- We are unable to support H1-B or STEM OPT candidates at this time.
About Terac
The expert network for AI training and research. We connect professionals like you with leading companies for paid projects that fit your expertise.