Pathology AI Data Reviewer (Remote Contract)

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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

Micro1 is hiring 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 software (labeled as Other). You will handle image classification and entity/NER-style labeling tasks and follow project-specific 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).

How to apply

If you are a board-certified pathologist interested in shaping medical AI, apply through OpenTrain to join Micro1’s contractor team. Be prepared to provide credential verification and a brief summary of your pathology experience and any relevant annotation or research background.

OpenTrain will help you manage the application, verify qualifications, and connect you with the project team. Creating an OpenTrain account is free and lets you build a unified portfolio of AI training work.

• Languages: English required.
• Worldwide applicants accepted; contractor status required.