Remote AI Transactional Attorney | Tech Contracts Pro

Weekday 1

United States

Remote

USD 124,000 - 179,000

Part time

14 days+
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Job summary

Weekday 1 is seeking experienced Transactional Attorneys for a part-time, remote role in the United States, paying $90-$130 per hour. You will draft, review, negotiate, and redline commercial technology agreements and help train AI systems used in real-world legal workflows.

Ideal candidates have a JD, active bar, 3+ years in-house tech transactions, and experience with MSAs, DPAs, and NDAs. You will collaborate with product, research, and engineering teams to refine AI training data and improve

Qualifications

  • J.D. from ABA-accredited law school and active bar membership in at least one U.S. jurisdiction.
  • Minimum 3 years of in-house legal experience focused on technology transactions.
  • Extensive drafting, negotiating, reviewing, and redlining of commercial agreements including MSAs, NDAs, and DPAs.

Responsibilities

  • Perform simulated contract negotiations and redlining across commercial agreements.
  • Review AI-generated responses to contract scenarios and provide detailed legal feedback.
  • Develop objective evaluation criteria, scoring rubrics, and quality standards for AI contract tasks.
  • Collaborate with product, research, and engineering teams to refine AI training data and guidelines.
  • Apply practical legal judgment to identify risks, ambiguities, and negotiation strategies.

Skills

In-house experience
Tech transactions
Drafting & redlining
Negotiation skills

Education

J.D. from ABA-accredited law school

Tools

NDA/MSA/DPAs drafting
CLM platforms familiarity

Job description

Weekday 1 is seeking experienced Transactional Attorneys for a part-time, remote role in the United States, paying $90-$130 per hour. You will draft, review, negotiate, and redline commercial technology agreements and help train AI systems used in real-world legal workflows.

Ideal candidates have a JD, active bar, 3+ years in-house tech transactions, and experience with MSAs, DPAs, and NDAs. You will collaborate with product, research, and engineering teams to refine AI training data and improve

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