Contract Review & AI Evaluation Attorney

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We help professionals find and consolidate specialized AI training work, track projects across platforms, and build a unified portfolio that showcases their impact on real-world AI systems.

OpenTrain focuses on practical, paid opportunities that let experts contribute directly to how AI behaves—while keeping full control of their freelance profile and career trajectory.

About AI training for legal work

AI training (data labeling, annotation, and human feedback) is the human side of modern AI development. For legal AI, experienced attorneys generate, critique, and rate examples so models learn to spot risk, interpret clauses, and draft or review contracts with professional rigor.

These projects are typically remote and flexible, letting licensed practitioners contribute part time while shaping how next-generation legal tools perform.

The role

Micro1 is hiring a Contract Review & AI Evaluation Attorney for a part-time contract role that combines simulated contract redlines with careful evaluation of AI model outputs. You will translate legal judgment into high-quality training data and objective evaluation frameworks that improve model accuracy on contract tasks.

This is a remote contractor position requiring 20+ hours per week. Compensation is hourly at $80–$105 USD depending on experience and performance.

• Employment type: Contractor, Part-time
• Time commitment: 20+ hours/week
• Pay: $80–$105 USD per hour

What you will do

You will perform realistic contract review exercises and evaluate AI-generated responses so models learn to identify legal risk and produce professional contract language. Your work will be used to train and validate legal AI features for practitioners.

• Redline contracts (MSAs, NDAs, DPAs) and simulate negotiation positions to produce labeled examples.
• Review AI-generated contract drafts, comments, and clause suggestions; provide detailed corrective feedback and scoring.
• Develop objective evaluation frameworks and grading criteria to measure AI performance against legal standards.
• Collaborate with product and research teams to refine labeling guidelines, edge cases, and best practices.

Requirements

Candidates must meet the professional and experiential criteria below. We will verify credentials and expect you to bring demonstrated in-house technology-transaction knowledge.

• J.D. from an ABA-accredited law school.
• Active bar admission in at least one U.S. jurisdiction.
• Minimum 3 years of in-house experience focused on technology transactions, particularly MSAs, NDAs, and DPAs.
• Strong analytical skills and ability to translate legal judgment into actionable feedback for AI systems.
• Exceptional written and verbal communication and meticulous attention to detail.
• Experience working with cross-disciplinary teams (legal, product, research).

Preferred qualifications

The following are not required but will strengthen your application and may affect placement and pay rate.

• Prior exposure to AI, legal technology, or training initiatives.
• Experience at a corporate law firm in M&A or fund formation for private equity.

Who should apply

This role is best for licensed attorneys who want to apply their technology-transaction experience to improve legal AI tools. If you enjoy drafting and redlining contracts, analyzing legal risk, and explaining nuanced legal choices in plain language, you’ll be a strong fit.

The position is attractive to attorneys seeking remote, flexible contract work that builds a tangible portfolio of AI-training contributions.

How it works & next steps

If selected, you will work as a contractor for Micro1 on OpenTrain-managed projects. Tasks include both evaluation rating and text-generation style labeling using the project's labeling software (OTHER). You will be paid hourly at the published range, with placement and rate determined by experience and performance.

To apply, prepare your resume, bar admission details, and brief examples of relevant contract work or prior legal-tech involvement. OpenTrain helps you centralize this role on your AI training portfolio so you can build a record of contributions across projects.

• Languages required: English.
• Label types: Evaluation rating and text generation.
• Labeling software: Other (project-specific).
• Worldwide applicants accepted; role requires U.S. bar admission.