About this role
Role Overview
Provide expert transactional legal review and contract negotiation work to improve how advanced AI systems read, assess, and redline commercial technology agreements. This part-time contractor role focuses on drafting, reviewing, negotiating, and redlining technology contracts so AI models learn to identify legal risk and apply precise legal judgment.
Key Responsibilities- Perform simulated contract negotiations and redlining exercises for technology agreements.
- Review and assess AI-generated responses to contract scenarios, offering detailed expert feedback to improve model accuracy and legal reasoning.
- Contribute to contract redlining workflows used to train and evaluate state of the art AI models.
- Create objective evaluation frameworks and grading criteria to measure AI performance on contract tasks with rigor and consistency.
- Collaborate with product and research teams to refine training data, guidelines, and best practices for AI driven contract review solutions.
- J.D. from an ABA accredited law school.
- Active bar admission in at least one U.S. jurisdiction.
- Minimum of 3 years of in house experience focused on technology transactions, with direct experience negotiating MSAs, NDAs, and DPAs.
- Exceptional written and verbal communication skills with meticulous attention to detail.
- Strong analytical ability and experience translating legal expertise into actionable feedback for systems and cross disciplinary teams.
- Demonstrated commitment to innovation at the intersection of law and technology.
- Prior exposure to AI, legal technology, or training initiatives.
- Experience at a corporate law firm in M&A or fund formation for private equity firms.
- Employment type: Contractor, part time.
- Location: Remote work.
- Work will involve collaborating with product and research teams in a fast paced environment.
- Hourly rate: $80.00 to $105.00 per hour.
- Must hold a J.D. from an ABA accredited law school and be actively admitted to at least one U.S. bar.
- Minimum 3 years of in house technology transactions experience, including negotiating MSAs, NDAs, and DPAs.
The hiring organization is an AI data lab that converts subject matter expertise across domains into high quality training data and evaluations for frontier AI models, with a mission to improve how AI systems learn, reason, and perform in real world tasks.