Data Analytics Specialist

AI Trainer Jobs

United States

Remote

USD 96,000 - 152,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Data Analytics Specialist for a remote review track that evaluates AI outputs across data analytics operations workflows. You will 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.

Responsibilities include reviewing outputs against workflows, playbooks, and policy; grading tone and escalation on a structured rubric; and clearly naming the policy or workflow

Qualifications

  • Direct working experience in data analytics operations on real teams.
  • Ability apply multi-page rubrics consistently across long batches.
  • Clear written reasoning naming the policy or workflow applied.
  • Strong attention to detail and ability to flag when a prompt is the problem.

Responsibilities

  • Review AI outputs against current data analytics specialist operations workflows, playbooks, and firm policy for Data Analytics Specialist 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.

Skills

Data analytics operations experience
Rubric-based evaluation
Clear written reasoning
Attention to detail
Async availability (10+ hrs/week)

Tools

AI-assisted workflow tooling

Job description

Data Analytics Specialist is a remote review track for evaluating AI outputs across data analytics 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.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Data Analytics Specialist is a remote review track for evaluating AI outputs across data analytics specialist operations workflows.

Role details
About the role

Data Analytics Specialist is a remote review track for evaluating AI outputs across data analytics 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.
Data Analytics 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.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities
  • Review AI outputs against current data analytics specialist operations workflows, playbooks, and firm policy for Data Analytics Specialist 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.
What you should bring
  • Direct working experience in data analytics specialist operations on real teams for Data Analytics Specialist 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.
Role signals
Example tasks
  • Grade a model's response to a real data analytics 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.
Useful experience
  • 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.
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
  • Operational review
  • Policy adherence
  • Workflow judgment
  • Stakeholder communication
  • Data Analytics specialist operations
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