Data Privacy Analyst

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

Job summary

AI Trainer Jobs is seeking a Data Privacy Analyst for a remote contractor role evaluating AI outputs in privacy law workflows. You will review citations, statutory reasoning, and policy adherence, flag risks, and document corrected analysis for training the modeling team.

Ideal candidates have active privacy-law qualifications, hands-on experience drafting or reviewing matters, and the ability to apply a multi-page rubric consistently with clear, cited reasoning. Remote, US-eligible position.

Qualifications

• Active or recent qualification in privacy law or an adjacent practice for Data Privacy Analyst 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.

Responsibilities

• Review AI outputs against current privacy law statutes, case law, or policy for Data Privacy Analyst 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

Legal research

Citation review

Statutory analysis

Policy reasoning

Privacy law

Education

Bar admission or legal-equivalent credential

Job description

Data Privacy Analyst 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.

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

Data Privacy Analyst is a remote review track for evaluating AI outputs in privacy law workflows.

Role details

About the role

Data Privacy Analyst 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 Data Privacy Analyst 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 privacy law or an adjacent practice for Data Privacy Analyst 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.

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

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.