Funds Attorney — Contract Review for AI Training

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help legal and technical professionals discover projects, consolidate opportunities, and build a unified portfolio of AI training work.

Creating an OpenTrain account is free. Our community connects skilled contributors with cutting-edge projects that shape how AI systems learn from human examples.

About AI training in law

AI training (also called data labeling or human feedback) is the human work that teaches models to handle real legal tasks. In contract review projects, expert attorneys provide redlines, assess model outputs, and define objective standards so models learn to draft, spot risks, and negotiate consistently.

This is practical, remote work that directly shapes how future legal AI tools perform and reduces repetitive review tasks for lawyers.

The role

OpenTrain is recruiting seasoned Funds Attorneys to contribute to training and evaluating advanced AI models for legal contract review. This is a part-time remote contractor role working with OpenTrain.

The project focuses on investment fund documentation and M&A-related contract scenarios; contributors turn legal expertise into high-quality training data and evaluation criteria.

• Employment type: Contractor, Part-time
• Location: United States only (remote)
• Time: Less than 20 hours per week
• Pay: $80–$105 per hour (paid hourly)
• Data type: Documents (contract drafts, redlines)
• Labeling work: Evaluation ratings and RLHF-style feedback
• / custom tooling

What you'll do

You will apply your fund- and M&A-focused practice experience to produce high-quality annotations, evaluations, and guidance that teach models to handle complex contract tasks.

• Perform simulated contract negotiations and redlining exercises on fund documents
• Review and assess AI responses to contract scenarios and identify errors or risks
• Provide detailed expert feedback to improve model output precision
• Create objective evaluation frameworks and grading criteria for model performance
• Collaborate with product and research teams to refine data, guidelines, and best practices

Requirements

Candidates must meet the role's legal and professional requirements. We will verify credentials consistent with contributing expert legal judgments.

• J.D. from an ABA-accredited law school
• Active bar admission in at least one U.S. jurisdiction
• Minimum 2 years of experience in the funds department of a corporate law firm
• Familiarity with standard fund and M&A agreements (LPAs, subscription agreements, side letters)
• Exceptional written and verbal communication skills and meticulous attention to detail
• Strong analytical capabilities and the ability to translate legal expertise into actionable feedback for AI systems
• Experience working with cross-disciplinary teams

Helpful background

You do not need prior AI training experience, but familiarity with legal tech or previous participation in model-training or labeling initiatives is a plus and will make onboarding faster.

• Prior exposure to AI, legal technology, or annotation projects is helpful
• Comfort using custom annotation tools is beneficial

Who should apply

This project is best for early-career to senior transactional attorneys who have worked in funds teams and want to shape legal AI. If you enjoy detailed contract work, translating judgment into clear criteria, and mentoring systems through feedback, apply.

• Experienced funds/M&A attorneys looking for flexible, impactful part-time work
• Professionals interested in the intersection of law and AI and in improving model performance