Legal Expert (Litigation & Disputes)

OpenTrain AI, Inc.; United States; Remote; USD 110,000 - 179,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a US-based contractor to create, annotate, and review legal data used to improve AI systems. The work calls for practical judgment across civil procedure, motion practice, brief writing, eDiscovery, legal research, and trial or appellate advocacy.

This is a remote, part-time engagement paying $80 to $130 per hour. A JD, LLB, or equivalent license is required, and applicants must have current or former US-based litigation experience with strong written and verbal

Qualifications

• Current or former US-based litigation practice with significant experience in civil procedure, trial, or appellate work.
• Strong ability to draft and analyze motions, briefs, pleadings, and related litigation documents.
• Experience with eDiscovery, document review, and production of electronically stored information.

Responsibilities

• Create and annotate tasks involving pleadings, motions, briefs, and civil disputes.
• Review litigation documents for completeness, accuracy, clear instructions, and legal quality.
• Design and refine annotation guidance for eDiscovery and electronically stored information workflows.
• Conduct advanced legal research and summarize findings for task content and quality review.
• Develop realistic trial and appellate scenarios that test legal reasoning.
• Give actionable feedback to improve task design and overall data quality.

Education

JD or LLB or equivalent legal qualification

Job description

Create, annotate, and review legal data for AI systems using your litigation experience. This US-based contractor role pays $80 to $130 per hour and focuses on civil procedure, eDiscovery, legal research, and advocacy.

Remote Hourly · $80–$130/hr

$80–$130/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will create, annotate, and review legal data used to improve AI systems. The work calls for practical judgment across civil procedure, motion practice, brief writing, eDiscovery, legal research, and trial or appellate advocacy.

You will also help improve task instructions and data quality while managing multiple assignments independently and communicating clearly with project coordinators.

• Create and annotate tasks involving pleadings, motions, briefs, and civil disputes.
• Review litigation documents for completeness, accuracy, clear instructions, and legal quality.
• Design and refine annotation guidance for eDiscovery and electronically stored information workflows.
• Conduct advanced legal research and summarize findings for task content and quality review.
• Develop realistic trial and appellate scenarios that test legal reasoning.
• Give actionable feedback to improve task design and overall data quality.

What it pays and takes

This is a part-time individual contractor role for a legal professional based in the United States. The work is conducted in English.

• Pay: $80 to $130 per hour.
• Location: Open to candidates based in the United States.
• Practice background: Current or former US-based litigation practice with significant experience in civil procedure, trial, or appellate work.
• Legal skills: Strong ability to draft and analyze motions, briefs, pleadings, and related litigation documents.
• Technical legal experience: Hands-on familiarity with eDiscovery, document review, and production of electronically stored information.
• Qualifications: A JD, LLB, or equivalent legal qualification, plus admission to practice in at least one jurisdiction.
• Other requirements: Advanced legal research and legal analysis skills, clear written and verbal communication, and close attention to detail.
• Helpful background: Experience designing or reviewing legal instructional content or data annotation tasks. Previous AI experience is not required.

About AI training work

AI training work is the human side of building artificial intelligence. People create, review, and rate examples so AI systems can produce more useful and accurate results, and experienced professionals are needed when the work depends on specialized legal judgment.

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