MercorVerified Source
RemoteLegal & Compliance

Compliance & Risk Specialist Talent Network | $60-$80/hr Remote

$60–$80/hr
Posted June 28, 2026
part-time

Overview

Mercor is assembling a network of seasoned Compliance & Risk professionals to support cutting-edge AI labs on a contract basis. This is not a single open role—it's an invitation to join a talent pool where you can be matched with projects that align with your expertise. As a network member, you'll apply your domain knowledge to help train and refine AI models, working remotely on a flexible schedule (typically 15–30 hours per week).

What You'll Do4

  • 1Train and evaluate AI models specifically within the compliance and risk domain.
  • 2Design real-world tasks and deliverables that test and improve model understanding of regulatory scenarios.
  • 3Provide targeted, domain-specific feedback to advance frontier AI research.
  • 4Apply your expertise in regulatory frameworks, risk mitigation, and internal controls to help shape model behavior and accuracy.

Requirements3

  • 1Professional background in regulatory compliance frameworks, risk assessment & mitigation, and internal controls & auditing.
  • 2Excellent communication skills to clearly articulate complex regulatory concepts.
  • 3Ability to work independently and manage your own schedule in a fully remote environment.

Who Should Apply

This network is ideal for experienced Compliance & Risk specialists who are eager to apply their expertise in a nontraditional setting—helping build safer, smarter AI. You should be comfortable working autonomously, curious about AI technology, and looking for flexible, high-impact projects that fit around your existing commitments.

Salary Insight

The hourly rate for projects is $60–$80 per hour (USD), with typical commitments of 15–30 hours per week.

Application Tip

When applying, include a brief paragraph describing a specific compliance challenge you’ve solved and how it could relate to training an AI model. This demonstrates the practical, scenario-based thinking that AI labs value most.

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