Policy Consultant

AI Trainer Jobs; United States; Remote; USD 58,000 - 80,000; Part time

Job summary

AuraOne seeks a Policy Consultant to remotely review AI outputs in policy review workflows. Reviewers assess citation accuracy, statutory reasoning, and policy adherence, flag risk, and document corrected analyses to train the model.

Responsibilities include verifying citations and dates, flagging miscitations with severity, and capturing the corrected analysis for program training. Requires Bar admission or legal-equivalent, strong writing, and 10+ hours weekly availability.

Qualifications

• Must have current or recent policy-review or adjacent legal practice experience.
• Clear written reasoning that cites authority and states the rule applied.
• Ability to apply multi-page rubrics consistently across large batches.
• Bilingual experience for cross-jurisdiction matters is a plus.
• Reliable availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against policy review statutes, case law, or policy for assignments.
• Verify citations, jurisdictions, and dates against authoritative sources.
• Flag risky reasoning, missed exceptions, and policy-adherence gaps with severity tags.
• Capture the corrected analysis or memo paragraph for model training.
• Adjudicate disputed treatments against published authority or firm policy.

Skills

Legal research

Citation review

Statutory analysis

Policy reasoning

Policy review

Education

Bar admission or legal-equivalent credential

Job description

Policy Consultant is a remote review track for evaluating AI outputs in policy review workflows. Reviewers grade citation accuracy, statutory reasoning, and policy adherence; flag risk; and document the corrected analysis so the modeling team can train on it.

Category: Legal & Policy AI Evaluation · Pay: $50 / hr · Location: Remote — US-eligible · Contractor

Policy Consultant is a remote review track for evaluating AI outputs in policy review workflows.

Role details

About the role

Policy Consultant is a remote review track for evaluating AI outputs in policy review workflows. Reviewers grade citation accuracy, statutory reasoning, and policy adherence; flag risk; and document the corrected analysis so the modeling team can train on it.
Policy review content is judged on precision. AuraOne uses qualified legal and policy reviewers to grade AI outputs the way a senior associate would — with citations, severity tags, and the corrected reasoning alongside the original.
Judge legal, policy, and compliance outputs for precision and risk.

Responsibilities

• Review AI outputs against current policy review statutes, case law, or policy for Policy Consultant assignments.
• Verify citations, jurisdictions, and dates against authoritative sources.
• Flag risky reasoning, missed exceptions, and policy-adherence gaps with severity tags.
• Capture the corrected analysis or memo paragraph so the modeling team can train on it.
• Adjudicate disputed treatments against published authority or firm policy.

What you should bring

• Active or recent qualification in policy review or an adjacent practice for Policy Consultant work.
• Hands-on experience drafting, reviewing, or advising on real matters.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites authority and names the rule being applied.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Verify the citations in a model's policy review memo and flag any miscites with severity.
• Grade a model's statutory reasoning on a complex fact pattern and rate the analysis.
• Adjudicate a disputed treatment between two reviewers using current authority.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• Bar admission or legal-equivalent credential in a relevant jurisdiction.
• Prior experience reviewing AI-assisted legal-research or compliance tooling.
• Bilingual experience for cross-jurisdiction matters.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Legal research
• Citation review
• Statutory analysis
• Policy reasoning
• Policy review

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.