Federal Litigation AI Evaluation Attorney
You will help evaluate and improve AI systems used for real-world legal work. The focus is civil litigation in federal court, including motion practice, legal reasoning, case-law analysis, litigation strategy, and persuasive briefing.
- Field
- Law
- Where
- United States, Algeria, Argentina, Austria, Bahrain, Bangladesh +46 more
- Commitment
- part time
- Asks for
- Licensed attorney
- Posted
- 1 month ago
Pay data for your profession: Lawyer AI trainer jobs
The full listing
As posted on OpenTrain AI. See the original
The work
You will help evaluate and improve AI systems used for real-world legal work. The focus is civil litigation in federal court, including motion practice, legal reasoning, case-law analysis, litigation strategy, and persuasive briefing.
- Complete simulated motion-drafting, briefing, and litigation strategy exercises.
- Review AI responses to litigation scenarios for argument quality, legal analysis, and precision.
- Create objective evaluation frameworks and grading criteria for AI performance on litigation tasks.
- Improve data, guidelines, and best practices for AI-supported litigation work.
- Assess model-generated arguments, case-law analysis, and draft motions using consistent legal judgment.
What it pays and takes
This role is designed for an attorney who can turn substantial federal litigation experience into clear, consistent feedback for AI systems.
- Pay: $150 to $300 per hour.
- Work type: Remote, part-time contract role.
- Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, and Kazakhstan.
- Location: Also open to candidates in Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, the Palestinian territories, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
- Language: Professional fluency in English.
- Required: Substantial experience litigating civil matters in federal court.
- Required: Strong experience with federal motion practice, briefing, and case strategy.
- Required: A documented record of at least three motions won in federal civil litigation.
- Required: Excellent written and verbal communication, careful attention to detail, and strong analytical judgment.
- Required: Ability to turn legal expertise into clear, actionable feedback for AI systems.
- Helpful: Experience with AI, legal technology, or training initiatives.
- Helpful: Experience with motions to dismiss, summary judgment motions, and discovery motions.
- Helpful: Experience working across legal, product, or research disciplines.
How it works
OpenTrain is where you find AI training and data-labeling roles and start your application. Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples and feedback. Legal specialists are needed to judge whether model responses are accurate, well reasoned, and useful for real legal tasks.
How OpenTrain AI pays and hires
OpenTrain says it is free for freelancers, with no fees or subscriptions. Clients fund each milestone before work starts, and OpenTrain pays out to your connected payout method when the client approves the milestone. It doesn't publish a fixed payout schedule.
Create a free profile with your domains, languages and hourly rate, then apply to listings. Some listings hire through OpenTrain; others link you straight to the hiring platform.
Source: OpenTrain: AI training careers, OpenTrain docs: invoicing and payouts
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