Your hands-on knowledge of clinical systems like Epic and Cerner will directly shape how AI understands, interprets, and supports real-world healthcare workflows — making a meaningful impact on the future of digital health.
Why Join Us
Work on cutting-edge AI projects alongside the world's leading research labs.
Fully remote and flexible — work on your own schedule, from anywhere.
Freelance perks: autonomy, variety, and global collaboration.
Contribute to meaningful work at the intersection of healthcare and artificial intelligence.
Potential for ongoing work and contract extension.
Responsibilities
Apply your EMR/EHR expertise to evaluate AI-generated content related to clinical systems, workflows, and healthcare IT.
Review and assess AI outputs for accuracy, clinical relevance, and real-world applicability.
Identify gaps, errors, or misrepresentations in how AI models handle EMR/EHR concepts.
Provide structured, expert feedback to help AI teams improve model quality.
Draw on your experience with Epic, Cerner, or similar platforms to inform nuanced evaluations.
Work independently and asynchronously on your own schedule.
Required skills
Strong understanding of clinical and administrative healthcare workflows.
Ability to identify when AI-generated content reflects — or misrepresents — real-world system behavior.
Detail-oriented with clear written communication skills.
Comfortable working independently on task-based, remote assignments.
Preferred skills
Epic or Cerner certification.
Experience with go-live support, end-user training, or system optimization.
Familiarity with data quality, data annotation, or AI evaluation workflows.
Background spanning multiple healthcare specialties or care settings.
Experience and education
Hands-on experience implementing, configuring, or optimizing EMR/EHR platforms (Epic, Cerner, or similar).
No prior AI or data annotation experience required.
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.
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