WFH.teamOpen app$166k-$229k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
3+ years stated
J.D. from an ABA-accredited law school, Active bar admission in at least one U.S. jurisdiction
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Part-time contract role for an experienced SaaS contracts lawyer supporting AI training and evaluation. Requires a J.D. from an ABA-accredited law school, active U.S. bar admission, and at least three years of in-house technology transactions experience, particularly negotiating MSAs, NDAs, and DPAs.
Data, Finance and investments, Legal, Product, Security
United States
Timezone overlap is not stated.
Experienced · Contract · Part-time
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is near the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSaaS Contracts Counsel at micro1
Role Title: SaaS Contracts Counsel
Job Type: Contractor
Location: Remote
Job Summary: We are seeking seasoned SaaS Contracts Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.
Key Responsibilities
Perform simulated contract negotiations and redlining exercises.
Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.
Required Skills and Qualifications
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, particularly negotiating MSAs, NDAs, and DPAs.
Exceptional written and verbal communication skills with meticulous attention to detail.
Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
Demonstrated commitment to innovation at the intersection of law and technology.
Experience working with cross-disciplinary teams in fast-paced environments.
Preferred qualifications
Prior exposure to AI, legal tech, or training initiatives.
Experience at a corporate law firm in either M&A or fund formation for private equity firms.
Why Join
This is an opportunity to work at the intersection of law and technology.
You will help define how AI is developed for a new generation of legal practitioners.
You will apply your experience in a high-impact research environment.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.