About the Role
Data Annotation is seeking experienced healthcare operations specialists to join as contract contributors. In this role, you will apply your domain expertise to evaluate, annotate, and improve AI-generated responses related to healthcare operations, medical coding and billing, utilization management, and related subject matter.
Your work directly shapes the accuracy and reliability of AI tools used by healthcare professionals every day.

Key Responsibilities

Review and evaluate AI-generated responses to healthcare operations-related prompts for accuracy, clarity, and professional appropriateness
Annotate and rank model outputs to guide AI training and improvement
Write explicit, expert-level answers to healthcare operations questions that serve as model training examples
Flag errors, misconceptions, or ambiguous outputs and provide corrective guidance

Maintain consistent quality and throughput throughout the sprint engagement

Compensation & Terms

Pay is $50-$100+/hr, with bonus rates available on some projects
Paid on a regular cadence; contract position

Fully remote — work from anywhere in the US

Notes





Work on Data Annotation projects on a flexible, project-by-project basis — choosing what to work on, when, and at whatever cadence fits your schedule.

What to Expect
Data Annotation believes that human expertise is essential to building trustworthy AI. We don’t want AI training AI — we want real professionals in the room. If you have a strong healthcare operations background and want to put it to work in a current way, we’d love to hear from you.

Qualifications

Demonstrated healthcare operations experience (medical coding and billing, health information management, utilization review, healthcare administration, or similar)
Medical coding certification (e.g., CPC, CCS) not required, though preferred - practical expertise matters more than credentials
Strong written communication skills; ability to explain complex concepts clearly and concisely
Comfortable working independently in a remote, self-directed environment
Based in the United States

Has a general understanding of LLM use/ the AI landscape
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📌 Healthcare Operations Professional Ai Trainer Adelaide
🏢 Stryker
📍 Adelaide