Pathology SME
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About the Project
We are scoping a large-scale AI training data programme covering six image domains, from patent drawings to medical and satellite imagery. These roles lead the initial scoping phase: deciding where data should be collected from, validating sources and licences, and setting volume targets.
Job responsibilities
- Review the candidate data sources for your sub-categories, and find additional sources where coverage is thin.
- Pull and assess samples for relevance, quality and accompanying text such as findings, captions or metadata.
- Estimate available volume per sub-category, propose the target split, and recommend Go or No-Go for each source.
- Flag licensing and access issues to the licence reviewer, and later help define style guides and gold-standard examples.
Qualifications
- Scopes histopathology, cytology, hematology, cytogenetics and microbiology images.
- Requires an MD/DNB in Pathology
- 3+ years of diagnostic reporting
- Exposure to microbiology and to digital pathology or public image datasets is an advantage.
- C1-level English proficiency is required
- Familiarity with AI tools is a plus
- Engagement Type: Full-time
- Work Arrangement: Remote
- Work Schedule: Flexible between 10:00 AM and 10:00 PM Philippine Time (9.19 hrs)
- Work Setup: Candidate must have own laptop
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