FDA Regulatory Compliance Attorney (English)

You will provide legal analysis for AI training projects focused on FDA regulatory compliance. The work involves turning specialized FDA and life sciences knowledge into clear, accurate examples of legal reasoning and regulatory best practices.

• Analyze FDA statutes, regulations, and guidance documents.
• Review and critique regulatory submissions, compliance documents, and procedures.
• Assess regulatory risk, enforcement trends, and liability issues.
• Draft or edit scenario-based questions and answers about regulatory best practices.
• Identify emerging FDA and broader compliance issues and recommend practical solutions.
• Explain complex legal requirements to technical and non-technical audiences.
• Give feedback to improve the accuracy and completeness of project deliverables.

What it pays and takes

This is a contract, part-time role. The work is open to candidates in the countries listed for the role, including the United States, Canada, the United Kingdom, India, Singapore, and other locations across the listed regions.

• Pay: $140 to $400 per hour.
• Language: Fluent English is required.
• Education: Juris Doctor degree required.
• License: Active license to practice law in the United States required.
• Experience: At least five years in FDA law, regulatory strategy, or compliance.
• Background: Experience in life sciences, pharmaceuticals, or medical devices.
• Knowledge: Strong understanding of federal regulatory processes, submission pathways, and compliance protocols.
• Skills: Excellent written and verbal communication, careful judgment, attention to detail, and the ability to turn complex developments into practical guidance.
• Helpful background: Advising or representing clients in FDA investigations, warning letters, or consent decrees.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples. Legal experts help by reviewing information, writing and rating responses, and creating accurate examples so AI systems handle specialized questions more reliably.