Contract Review Expert

You will review AI-generated contract analyses and drafting outputs, then assess whether the legal reasoning is accurate, clear, complete, defensible, and useful in practice. You will also compare multiple responses and explain how they could be improved.

• Identify problems with clause interpretation, risk allocation, missing terms, ambiguity, enforceability, and negotiation strategy.
• Review and redline commercial agreements, including MSAs, SOWs, NDAs, DPAs, and SaaS agreements.
• Assess liability caps, indemnities, warranties, termination rights, payment risk, intellectual property, privacy, security, confidentiality, data processing, breach notification, and audit rights.
• Fact-check legal concepts and citations when needed.
• Write explanations, negotiation notes, clause rewrites, and practical playbook guidance.
• Test outputs for misleading certainty, confidentiality risks, and bias.

This is a part-time contractor role with a minimum commitment of 20 hours per week. The work is remote and may involve working across time zones.

• Pay: $40 to $100 per hour.
• Open to candidates in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, Timor-Leste, the United States, and Vietnam.
• Required: a JD, LLB, or equivalent, or substantial contract review experience as a paralegal or contracts professional.
• Required: at least five years of professional experience in contracts, legal operations, procurement, vendor management, or a related area.
• Required: strong attention to detail and at least C1 English proficiency.
• Preferred: prior AI data training, legal quality assurance, knowledge management, or template library maintenance experience.
• Helpful: familiarity with contract lifecycle management tools and version control.
• Helpful: experience turning legal risk into practical business guidance.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind modern AI systems. People review and rate model responses, check accuracy, and improve written outputs; experienced legal professionals help models handle contracts and legal reasoning more reliably.