
1 - 1 employees
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Aptura is a company that builds domain-tailored training and evaluation infrastructure to make AI reliable in regulated industries. They provide curated, high-quality datasets (medical imaging, financial models, legal contracts), reinforcement-learning environments with verifiable rewards, and a network of domain experts (physicians, attorneys, investment analysts) who annotate, review, and shape tasks. Aptura focuses on training and evaluating agentic AI on real-world tasks in healthcare, finance, and legal workflows, offering data licensing support, custom tooling, and metric-driven evaluation for deployment in regulated settings.
🕒 September 16
Where this job comes from
Posted on Aptura's careers page, not through a job board
First seen by Remote Rocketship September 16
Still open on Aptura's site. Checked 20 minutes ago.

1 - 1 employees
🤖 Artificial Intelligence
🏥 Healthcare
💸 Finance
Artificial Intelligence • Healthcare • Finance
Aptura is a company that builds domain-tailored training and evaluation infrastructure to make AI reliable in regulated industries. They provide curated, high-quality datasets (medical imaging, financial models, legal contracts), reinforcement-learning environments with verifiable rewards, and a network of domain experts (physicians, attorneys, investment analysts) who annotate, review, and shape tasks. Aptura focuses on training and evaluating agentic AI on real-world tasks in healthcare, finance, and legal workflows, offering data licensing support, custom tooling, and metric-driven evaluation for deployment in regulated settings.
• Carry out structural annotation on de-identified chest CT scans • Mark points, boxes and measurements on findings flagged upstream using a dedicated annotation platform • Place click-points at specific scan coordinates, such as nodule centres • Draw bounding boxes around defined regions of interest, such as flagged lesions • Record diameters or distances between marked points on existing segmentations or polygons • Apply annotation guidelines covering placement conventions, boundary definitions and measurement rules • Flag ambiguous cases with a short rationale • Support development of clinical AI imaging models • Perform structural markup without diagnostic interpretation, malignancy assessment or clinical decision-making
• Registered radiologist in your country of practice with active license • 3–10 years' experience in radiology, with a 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 • Prior imaging annotation experience is an advantage but not required • Native or near-native written English • Right to work in your country of residence • Work as an independent contractor
• Part-time, remote and fully asynchronous work arrangements • Hourly rate, paid weekly • Hands-on experience in clinical AI development and medical imaging • Opportunity to shape how AI systems localise and measure findings on CT
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