Pathology AI Data Reviewer (Remote Contract)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help specialists discover projects, build a unified AI training portfolio, and grow a durable freelance career in a fast-growing industry that puts humans at the center of how AI is taught.

Working through OpenTrain gives you access to paid, remote AI training roles across healthcare and other domains, and tools to manage assignments, demonstrate expertise, and connect with teams building the next generation of AI systems.

About this role

OpenTrain is recruiting for a remote, part-time contractor to review and annotate pathology-focused medical datasets used to train AI models. You will work with histopathology images, laboratory results, and clinical notes to provide clinical context, validate model outputs, and help improve diagnostic accuracy and reliability.

• Employment type: Contractor, part-time (20+ hours/week).
• Work location: Fully remote; worldwide applicants accepted (English required).
• Data types: Image-based pathology data plus associated clinical records.

What you'll do

As a Pathology AI Data Reviewer you will apply your clinical expertise to label, review, and enrich datasets so models learn accurate diagnostic patterns and context. Expect close collaboration with data scientists and AI developers to translate pathology judgment into high-quality ground truth.

• Review and annotate histopathology images and related clinical data for model training.
• Classify cases, identify entities and key findings (NER/classification), and flag challenging examples.
• Provide detailed written feedback and consult verbally with cross-functional teams.
• Recommend labeling guidelines and updates based on advances in pathology and edge cases.
• Maintain strict privacy, security, and ethical handling of sensitive medical information.

Requirements

This is a specialist clinical role that requires verified medical credentials and demonstrable pathology expertise.

• Board-certified pathologist with active and valid credentials (verification required).
• Strong expertise in pathology and complex specimen interpretation.
• Clear written and verbal communication skills for cross-team collaboration.
• High attention to detail, accuracy, and consistency when reviewing clinical data.
• Familiarity with digital pathology platforms and relevant clinical software.
• Commitment to patient privacy, data security, and ethical handling of sensitive information.

Preferred background

The following experiences are helpful but not strictly required by the listing; they strengthen your candidacy and can help you contribute more quickly.

• Prior experience with AI data annotation, clinical informatics, or medical datasets.
• Research experience or publications in pathology-related topics.
• Comfort working independently in a remote, distributed team environment.

Compensation, schedule & tools

Pay is hourly in USD. The posting lists an hourly rate up to $100; posted rate fields include min $8/hr and max $100/hr, with an indicated rate of $100/hr. This is a contractor, part-time engagement with a minimum commitment of 20+ hours per week.

Work will use digital pathology platforms and annotation tools. You will handle image classification and entity/NER-style labeling tasks and follow project guidelines.

• Time commitment: 20+ hours per week (flexible scheduling within project needs).
• Labeling tasks: CLASSIFICATION and ENTITY_NER_CLASSIFICATION on IMAGE data.
• Software: digital pathology platforms and project annotation tools (Other).