Radiologist - Chest CT Annotation - AI Project (USA)
Aptura · USA
Infrastructureremotemid-level
At a glance
Highlights
- Annotate de-identified chest CT scans to train clinical AI imaging models.
- Mark nodule centers, bounding boxes and measurements with spatial accuracy.
- Flag ambiguous cases to help refine annotation guidance.
What they offer
- Part-time, remote and fully asynchronous work
- Hourly rate, paid weekly
- Hands-on experience in clinical AI development and medical imaging
Ideal candidate
Detail-oriented radiologist with chest CT expertise who enjoys precise, consistent annotation work and contributing to clinical AI development.
Requirements
- Registered radiologist with active license
- 3-10 years' experience in radiology with chest/thoracic focus
- Strong grounding in thoracic anatomy and cross-sectional CT
- Proven accuracy and consistency in image review or measurement work
- Comfortable using structured annotation tools and digital platforms
- Native or near-native written English
- Right to work in country of residence as independent contractor
- remote policy
- Fully remote and asynchronous
Lab profile
About Aptura
Builds evaluation datasets and RL environments to make AI reliable in finance, healthcare, and legal.
What they build
- Evaluation datasets for regulated domains
- RL environments for high-stakes tasks
- Expert-curated training data and calibrated rubrics
Known for
- Research partner to Anthropic, OpenAI, Google DeepMind
- Specialization in finance, healthcare, and legal
- Clinician expert network for medical oversight
Key facts
- Based in London
- Small, lean team
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