Remote AI Policy & Legal Analyst — Contract

Alignerr Corp.; United States; Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Meaningful work

Job summary

Alignerr Corp. is seeking a Legal & Government Policy Analyst (AI Training) to evaluate AI-generated legal content and government policy analyses.

This remote hourly contract role offers flexible scheduling (10–40 hours/week) and requires strong legal, policy, or government knowledge to ensure accuracy and integrity in high-stakes domains. You'll review analyses, assess proper terminology and citations, identify errors, and provide structured feedback to improve AI performance.

Qualifications

• Strong understanding of legal concepts, government processes, or public policy.
• Excellent reading comprehension and analytical thinking.
• Clear, structured written communication with precise language.

Responsibilities

• Review AI-generated legal analyses, policy summaries, and government-related content for accuracy and completeness.
• Evaluate proper use of legal terminology, citations, and regulatory references.
• Identify factual errors, logical flaws, or misleading interpretations in AI outputs.
• Assess whether AI responses appropriately handle nuance across legislation, case law, compliance, and public policy.
• Provide clear, structured written feedback to improve AI performance on legal and government topics.

Skills

Legal analysis

Policy review

Attention to detail

Written communication

Independent work

Education

Law degree

Public policy degree

Paralegal certification

Tools

Westlaw

LexisNexis

Job description

Alignerr Corp. is seeking a Legal & Government Policy Analyst (AI Training) to evaluate AI-generated legal content and government policy analyses.

This remote hourly contract role offers flexible scheduling (10–40 hours/week) and requires strong legal, policy, or government knowledge to ensure accuracy and integrity in high-stakes domains. You'll review analyses, assess proper terminology and citations, identify errors, and provide structured feedback to improve AI performance.