Data Analyst (AI Evaluation)

AuraOne, Inc.; United States; Remote; USD 28,000 - 48,000; Part time

Job summary

AuraOne, Inc. is seeking a Data Analyst (AI Evaluation) contractor to review AI outputs against data analyst workflows, playbooks, and policy. You will grade workflow, tone, and stakeholder fit on a structured rubric to ensure quality and compliance.

You will flag escalation issues, document the recommended next steps for the modeling team, and adjudicate rubric with care. The role is remote for US-based contractors and requires at least 10 hours per week of async availability.

Qualifications

• Direct working experience in data analyst specialist operations on real teams for Data Analyst (AI Evaluation) work.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.

Responsibilities

• Review AI outputs against current data analyst specialist operations workflows, playbooks, and firm policy for Data Analyst (AI Evaluation) assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy‑adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter‑rater calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Data Analyst specialist operations

AI model evaluation

Job description

Data Analyst (AI Evaluation) is a remote review track for evaluating AI outputs across data analyst specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Why this role matters

Data Analyst specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.

Responsibilities

• Review AI outputs against current data analyst specialist operations workflows, playbooks, and firm policy for Data Analyst (AI Evaluation) assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy‑adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter‑rater calibration cycles.

Qualifications

• Direct working experience in data analyst specialist operations on real teams for Data Analyst (AI Evaluation) work.
• Comfort applying multi‑page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Example tasks

• Grade a model's response to a real data analyst specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have

• Prior experience training, calibrating, or QA‑ing operations teams.
• Familiarity with AI‑assisted workflow tooling and its failure modes.
• Bilingual experience for cross‑region operations.

Skills

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Data Analyst specialist operations
• AI model evaluation

Work model

Remote — US-eligible. Remote Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

• Direct working experience in data analyst specialist operations on real teams for Data Analyst (AI Evaluation) work.
• Comfort applying multi‑page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.