Privacy Engineering AI Evaluator

AI Trainer Jobs; United States; Remote; USD 55,000 - 110,000; Full time

Job summary

AI Trainer Jobs invites privacy-law professionals to join as a Privacy Engineering AI Evaluator. This remote contractor role focuses on reviewing AI outputs for citation accuracy, statutory reasoning, and policy adherence, with clear corrected analysis documented for training.

You will verify sources, flag risks, and adjudicate disputes using current authority. A valid privacy-law credential and strong written reasoning are essential, with about 10 hours per week minimum and async availability.

Qualifications

• Active or recent qualification in privacy law or adjacent practice.
• Experience drafting, reviewing, or advising on real matters.
• Ability 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.

Responsibilities

• Review AI outputs against current privacy law statutes, case law, or policy for Privacy Engineering AI Evaluator 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.

Skills

Privacy law knowledge

Legal writing

Citation review

Analytical thinking

Independent work

Education

Privacy law credential

Tools

AI evaluation tooling

Job description

About the role

Privacy Engineering AI Evaluator is a remote review track for evaluating AI outputs in privacy law 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.
Privacy law 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 privacy law statutes, case law, or policy for Privacy Engineering AI Evaluator 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.
  Track Legal & policy review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Active or recent qualification in privacy law or an adjacent practice for Privacy Engineering AI Evaluator 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 privacy law 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
• Privacy law
• Cybersecurity
• AI evaluation
• Rubric writing
• Expert review