Remote Pathologist (Freelance): AI Image Annotation

Prolific

Chicago (IL)

On-site

USD 227,304 - 323,736

Part time

14 days+

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Job summary

Prolific is seeking a qualified Pathologist for a freelance remote role to support an AI development project focused on medical image interpretation. This position offers significant flexibility and compensation of about $200 per hour, with an initial paid skills assessment at $48/hour.

The ideal candidate will have verified qualifications, with experience in medical image analysis and strong attention to detail. Responsibilities include annotating images, reviewing AI interpretations, and evaluating model quality to enhance AI performance in healthcare applications.

Qualifications

  • Verified status as a qualified Pathologist with relevant professional credentials.
  • Experience interpreting and analysing medical images and pathology-related data.
  • Strong attention to detail and the ability to assess complex medical information accurately.

Responsibilities

  • Annotating medical images using professional expertise.
  • Reviewing and verifying AI-generated interpretations of medical images.
  • Correcting inaccuracies and providing expert feedback on AI-generated responses.
  • Evaluating the quality, accuracy, and clinical relevance of model outputs.
  • Helping improve the performance of next-generation AI systems used in medical applications.

Skills

Medical image interpretation
Attention to detail
Clinical accuracy assessment

Education

Verified status as a qualified Pathologist

Job description

Prolific is seeking a qualified Pathologist for a freelance remote role to support an AI development project focused on medical image interpretation. This position offers significant flexibility and compensation of about $200 per hour, with an initial paid skills assessment at $48/hour.

The ideal candidate will have verified qualifications, with experience in medical image analysis and strong attention to detail. Responsibilities include annotating images, reviewing AI interpretations, and evaluating model quality to enhance AI performance in healthcare applications.

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