Pathology SME

Innodata Inc.; Mandaue; Remote; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Own laptop required

Job summary

Innodata Inc. in the Philippines is seeking a pathology-focused data specialist to scope and validate AI training data across histopathology, cytology, hematology, cytogenetics and microbiology images. You will review sources, samples and metadata, and help set volume targets and governance.

Remote, full-time, with a flexible schedule between 10:00 AM and 10:00 PM Philippine Time. Must hold MD/DNB in Pathology, 3+ years diagnostic reporting, and English at C1 level; familiarity with AI tools is

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.

Responsibilities

• Review candidate data sources for sub-categories and find additional sources where coverage is thin.
• Pull and assess samples for relevance, quality and metadata.
• Estimate available volume per sub-category and propose target splits; recommend Go/No-Go for sources.
• Flag licensing/access issues to licence reviewer and help define style guides.

Skills

English (C1) proficiency

AI tools familiarity

Remote work readiness

Education

MD/DNB in Pathology

Tools

Digital pathology datasets

Public image datasets

Job description

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