The work
You will create and review legal data annotation tasks used to train and assess AI systems. The work applies environmental legal judgment to documents, fact patterns, and hypothetical outcomes involving federal and state environmental laws.
- Assess compliance, permitting, pollution control, site remediation, enforcement, and environmental litigation issues.
- Analyze legal documents and fact patterns to build illustrative datasets and case scenarios.
- Write clear explanations and rationales for legal decisions.
- Evaluate whether hypothetical environmental law tasks and outcomes are legally sufficient.
- Recommend improvements to task guidance and annotation standards as legal developments and best practices change.
- Communicate clearly with project stakeholders about task requirements and expectations.
What it pays and takes
- Pay: $80 to $130 per hour.
- Work arrangement: Remote contractor role with part-time employment type.
- Location: Open to candidates in the countries specified in the listing, including the United States, Canada, the United Kingdom, India, and Singapore.
- Language: Fluent English required.
- License: Active United States law license required.
- Knowledge: Strong understanding of the Clean Air Act, Clean Water Act, CERCLA, and RCRA.
- Skills: Legal research, document analysis, summaries or expert opinions, clear written and verbal communication, analytical judgment, attention to detail, and accuracy.
- Helpful background: Interest in legal technology, AI, or data-driven legal applications. Previous AI or data-labeling experience is not required.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.
About AI training work
AI training is the human work behind systems that learn from examples. Legal experts help by creating, reviewing, and explaining examples so AI systems can reason more accurately about specialized topics such as environmental compliance and legal decisions.