Reviewers evaluate AI outputs in their specialty and language: transcripts, documentation drafts, extracted data, and safety cases.
How it works
Remote, project-based sessions in your specialty.
Paid per review, with transparent rates.
You keep every clinical judgement; we handle the tooling.
Your reviews feed into audit trails your compliance team can inspect.
What we offer
100% remote reviews, scheduled around your clinical work.
Transparent per-review compensation.
Work on projects where your specialty is genuinely needed.
Direct contribution to safer, more accurate medical AI.
How It Works
We are expanding our clinical reviewer network. Submitting your application adds you to our waitlist. When a project matches your specialty and language, we will contact you via email with next steps.
Responsibilities
Review AI-generated clinical outputs in your specialty and language.
Evaluate transcripts, documentation drafts, extracted data, and safety cases.
Apply structured evaluation guidelines and flag safety-relevant issues.
Feed clinical judgement into audit trails your compliance team can inspect.
Required skills
Practicing physicians, pharmacists, or allied health professionals.
Native-level fluency in at least one European clinical language.
Working knowledge of clinical documentation standards in your setting.
Comfortable following structured evaluation guidelines.
Schedule details
Flexible Schedule.
Eligibility
Work arrangement: Fully remote
Our primary market is Europe. For projects with specific EU regulatory requirements, talent residing within the EU may receive priority placement.
This is a freelance contract engagement, not an employment relationship. You must be authorized to work as an independent professional in your country of residence.
Some projects may require specific regional residency due to data protection or contractual constraints.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.