Contracting Attorney
Micro1 • Remote • Posted 4 days ago
Education
Any
Type
Pay Rate
$92.5/task
Posted
4d ago
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About this Role
Job Summary
We've partnered with Crosby to find seasoned Contracting attorneys for a 1-month Commercial Contracting AI Fellowship. 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 with deep experience in SaaS contract review, negotiation, and redlining. As a SaaS Contracting Attorney – AI Fellow, your contributions will directly refine and elevate next-generation legal AI systems, driving meaningful change in the industry. This fellowship simulates real-world contract negotiation scenarios used to train advanced AI models. Fellows will: Perform simulated contract negotiations and redlining exercises, evaluating AI-generated suggestions for accuracy, risk identification, and legal soundness. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. Collaborate with Crosby's product and research teams to refine training data, annotation 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 SaaS contract review, negotiation, and redlining. 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.
Compensation and commitment
$80–$105/hour Part-time, flexible schedule Minimum commitment: 5 hours/week Maximum commitment: 20 hours/week Fellowship duration: 1 month
Preferred Qualifications
Prior exposure to AI, legal tech, or data annotation initiatives. Expertise in risk mitigation strategies within SaaS contracting. Publication or presentation record on legal technology topics. Applications will be reviewed on a rolling basis, and the fellowship will close once the cohort is full. Apply by April 30 for the best chance of securing a spot.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Legal
Compensation Analysis
Part-time, flexible schedule Minimum commitment: 5 hours/week
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.