Healthcare Attorney, BigLaw

The work

You will help improve AI systems by reviewing healthcare legal materials, evaluating model responses, and writing examples grounded in U.S. healthcare law. Your work will focus on accurate legal reasoning, clear explanations, and ethical standards.

• Analyze and annotate healthcare legal documents and regulatory materials for AI training.
• Draft and critique sample content about healthcare compliance, fraud and abuse, patient privacy, telemedicine, and related issues.
• Evaluate AI responses for legal accuracy, clarity, U.S. healthcare law, and ethical standards.
• Write detailed feedback that helps improve legal reasoning.
• Identify emerging healthcare law trends and turn them into useful project input.
• Explain complex legal concepts through written and verbal collaboration.
• Create practical scenarios based on real-world healthcare legal challenges.

What it pays and takes

This is a remote, part-time contractor role. law license.

• Pay: $140-$400 per hour.
• Time: About 20 hours per week.
• Duration: An estimated 1-3 months.
• Location: remote, open to applicants in the United States.
• Language: English.
• Required: Juris Doctor degree and an active license to practice law in the United States.
• Required: Significant experience advising on healthcare law, compliance, and regulatory matters.
• Required: Working knowledge of HIPAA, the Stark Law, and the Anti-Kickback Statute.
• Expected: Strong written and verbal communication, careful attention to detail, and accurate legal analysis.
• Useful background: Policy analysis, contract drafting, healthcare regulatory review, healthcare operations, risk management, or clinical practice environments.
• Helpful but not required: Interest in emerging technology, legal innovation, or AI projects. Prior AI training experience is not required.

How it works

You apply here in about two minutes; the application finishes on the hiring platform, with a short AI interview if you are shortlisted.

About AI training work

AI training is the human work behind many AI systems, including reviewing documents, writing examples, and rating model responses. People with specialized legal knowledge help models produce more accurate and useful answers in complex fields.