About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled people with hands-on roles that shape how AI behaves and learns. OpenTrain AI is the hiring and contracting organization for every role posted here.

Why this work matters — the human side of AI

AI training (also called data labeling or human feedback work) is the human core of modern AI development: people prepare, review, and correct examples that AI models learn from. Contributors are on the cutting edge of how AI systems reason about language, medicine, and patient safety.

This role offers flexible, remote work that directly improves clinical accuracy and public-health reasoning in AI—great part-time work for health professionals who want to influence how medical AI behaves.

The role

You will evaluate AI-generated medical responses and produce high-quality healthcare content that reflects rigorous clinical reasoning and patient safety. This contractor, part-time position focuses on clinical and public-health medical reasoning across text-based tasks.

• Employment type: Contractor, Part-time — less than 20 hours/week.
• Work format: Fully remote, worldwide.
• Data type: Text — tasks include evaluation, written feedback, and model solution writing.

What you'll do

Day-to-day work involves reading AI outputs, judging clinical correctness, and writing clear, evidence-aligned responses or corrections. You will flag unsafe or inaccurate content and supply concise, actionable feedback to improve models.

• Evaluate medical reasoning, differential diagnosis, and risk assessment in model responses.
• Rank or rate responses for clinical correctness and safety (evaluation rating tasks).
• Write model clinical solutions and high-quality healthcare content (text generation).
• Provide written feedback, fact-check claims, and identify contraindications or unsafe assumptions.
• Assess logic, internal consistency, and the appropriateness of recommendations for the described setting.

Requirements

You must meet the stated educational and clinical experience requirements and be comfortable working in English at C1 level or higher.

• Bachelor’s degree or higher in Medicine, Nursing, Public Health, Health Sciences, or Allied Health.
• 5+ years of professional experience in healthcare, clinical practice, or public health.
• Demonstrated clinical reasoning skills, including differential diagnosis and risk assessment.
• Strong knowledge of disease processes, patient care concepts, healthcare systems, and medical terminology.
• Experience reviewing, fact-checking, or validating medical content for accuracy and safety.
• Ability to identify contraindications, unsafe assumptions, and incorrect interpretation of symptoms, tests, or care plans.
• Comfortable evaluating logic, internal consistency, setting appropriateness, and patient safety in written responses.
• English proficiency at C1 level or higher.

Preferred experience

These are not strict requirements but will make you a stronger candidate and help you move faster on tasks.

• Prior experience in AI training, annotation, or labeling projects.
• Clinical documentation review, utilization review, or healthcare editorial QA experience.
• Familiarity with writing concise clinical guidance for diverse audiences.

How it works — pay, schedule, and next steps

This is a contractor role with flexible hours and remote participation. You will complete text-based evaluation, rating, and generation tasks through OpenTrain AI's workflows. Workloads vary by project; this role is structured for under 20 hours per week.

Compensation is hourly: $25–$72 per hour (job posts a typical rate of $60/hr). You will be paid per hour according to the project's compensation terms and your approved tasks.

• Labeling task types include evaluation rating, text generation, and question answering on clinical prompts.
• Worldwide applicants welcome; fluent English (C1+) required.
• Apply through OpenTrain to create a profile, complete any qualification tests, and start work once approved.