$80–130/hr · micro1
An experienced technology attorney who evaluates AI contract analysis capabilities and develops training frameworks to advance legal AI systems.
What you would do
- Conduct simulated negotiations and redlining sessions on technology agreements to generate training examples
- Review AI responses to contract scenarios and assess accuracy of risk identification and legal interpretation
- Develop objective evaluation criteria and rubrics for measuring AI performance on contract tasks
- Identify gaps in AI legal judgment and provide detailed feedback to improve model outputs
- Work with research and product teams to refine guidelines for contract AI training
Who they want
- J.D. from ABA-accredited law school with active U.S. bar admission
- Minimum 3 years of hands-on tech contract experience including MSAs, NDAs, and data agreements
- Excellent written and verbal communication with meticulous attention to detail
- Strong analytical skills to translate legal expertise into structured feedback for AI systems
- Genuine interest in advancing how AI systems handle legal analysis; remote part-time flexibility
Main skills
What the interview asks about
1.Tech contract risk assessment
Evaluating AI contract analysis requires you to spot the risks that matter most, which separates experienced lawyers from novices and determines if AI training achieves real legal value.
For example: “A standard SaaS MSA has an indemnification clause that's broader for the vendor than typical market practice. Explain what specific risks this creates for the customer, what negotiating power they have, and how an AI system should recognize this imbalance.”
2.AI output quality judgment
You must distinguish between AI errors that are easy fixes versus fundamental gaps in legal reasoning, which informs what training data or architecture changes researchers should pursue.
For example: “The AI correctly identifies that a DPA violates GDPR article 28 but misses that the liability cap is also problematic. Assess the severity of each error and explain what the AI needs to understand to avoid missing the second issue.”
3.Evaluation framework design
Creating grading rubrics for AI legal tasks is harder than just identifying errors; it requires breaking down subjective legal judgment into measurable criteria that others can apply consistently.
For example: “Design a 3-5 point scale to grade an AI system's redlines on a vendor NDA. What specific behaviors distinguish a mediocre response from an excellent one? Walk through two sample redlines and explain how your rubric would score them differently.”
4.Negotiation approach
Simulated negotiations reveal how you prioritize competing goals and adapt your strategy, which the AI training process needs to capture for real-world legal work.
For example: “You're negotiating data retention terms in a vendor DPA. They want one year but you need earlier deletion for compliance. Describe your opening position and fallback strategy.”
5.Translating legal concepts for engineers
AI researchers are not lawyers; your ability to explain why a legal concept matters in plain terms determines whether the team can actually improve the model.
For example: “How would you explain to a non-lawyer machine learning engineer why the difference between 'indemnify' and 'defend' in a liability clause is significant for AI training purposes?”
A task you may get
Redline a sample technology contract (MSA or DPA), then assess an AI system's redlines on the same document. Explain what the AI got right, what it missed, and how your evaluation framework would score both versions.
How to prepare
- Review recent market-standard MSAs and NDAs from your practice area to refresh common deal structures
- Prepare 2-3 specific examples from your work where a single clause had outsized business impact
- Practice explaining why particular contract risks matter to non-lawyers in 1-2 clear sentences
- Outline how you'd design a 5-point rubric for assessing contract redline quality
The facts
- Pay
- $80–130/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Law
- Role type
- Specialist
- Posted
- 8/13/2026
- Places left
- 100
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