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OpenTrain AIFor AI Companies

Medical Document Contributor for AI Training

Use your medical credentials to contribute original, de-identified clinical documents (PDF/Word) to train next-generation medical AI. Remote contract, part-time (20+ hrs/week), paid $20–$30/hr; submit 10–100 page professional documents.

OpenTrain AI

Medical Health

100% Remote Hourly · $20–$30/hr

$20–$30/hr

Compensation

Worldwide

Eligibility

Expert

Experience

Jun 28, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects across the industry, build a unified AI training portfolio, and apply quickly — all from one free account.

About AI training and this work

AI training (data labeling/annotation) is the human side of building intelligent systems: experts prepare, curate, and review real-world examples that models learn from. This project focuses on medical document contribution and curation — a high-impact way to shape how clinical AI systems learn, while working remotely and on a flexible schedule.

The role

OpenTrain is recruiting Medical Document Contributors for a contract project with OpenTrain. You will provide original, expert-authored medical documents from your professional portfolio to support data collection for AI training. This role prioritizes deep medical domain knowledge and real-world documentation over prior AI-specific experience.

  • Employment type: Contractor, part-time
  • Time commitment: 20+ hours per week
  • Data type: Documents (PDF or Word); label type: Data collection

What you'll do

  • Submit original medical documents you personally authored (case reports, clinical notes, research manuscripts, internal training guides, etc.).
  • Provide documents that demonstrate depth and authenticity and include multimodal elements (text, tables, charts, diagrams, figures).
  • Ensure all materials are thoroughly de-identified and free of any patient-identifying or sensitive personal information before submission.
  • Curate files across a range of lengths; ideal documents are roughly 10–100 pages per file to support varied training scenarios.
  • Supply written context or clarifications about submitted materials when requested and communicate clearly with the project team.

Requirements

  • Advanced training or credentials in medicine, healthcare, clinical research, or a closely related discipline (MD, DO, PhD, RN, etc.).
  • Extensive experience authoring or compiling high-quality medical documentation and technical reports.
  • Strong understanding of patient confidentiality, ethical documentation practices, and data de-identification.
  • Proven ability to convey complex medical information clearly in writing; comfort providing brief written context when needed.
  • Experience producing multimodal documentation that integrates figures, visuals, and structured data.
  • Comfort submitting original professional documents in PDF or Word format.

Compensation, location, and tools

This is a remote, worldwide contractor role. Contributors must be able to submit documents in English and work approximately 20+ hours per week.

  • Pay: Hourly, USD $20–$30 per hour (project uses pay-per-hour model).
  • Work setting: Fully remote; contributors collaborate with the project team online.
  • (contributors will use the workflow and submission tools specified for the project).

How it works and how to apply

Apply through OpenTrain by creating a free account, completing your profile, and submitting your interest in the OpenTrain medical document contribution project. You will be asked to confirm you can provide original, de-identified documents and may be asked for sample metadata or descriptions of your materials.

OpenTrain connects you with the project and streamlines onboarding; details about submission formats, de-identification checks, and collaboration will be provided after selection.

  • You must be able to submit original documents you authored and attest that they have been de-identified.
  • Selected contributors will receive project instructions and secure submission guidelines before sharing files.