Data Science and Analytics Experts

AI Trainer Jobs; United States; Remote; USD 83,000 - 96,000; Full time

Benefits offered by this job

Remote work

Contractor arrangement

Job summary

Data Science and Analytics Experts is seeking a remote reviewer to evaluate AI outputs across data science and analytics operations. You will assess workflow correctness, policy adherence, and stakeholder fit, and document the right next steps to help the modeling team train effectively.

As a contractor, you will work asynchronously, approx 10+ hours per week, with tasks paid at $60–$70 per hour. This role emphasizes attention to detail, clear reasoning, and consistent rubric application for

Qualifications

• Direct working experience in data science and analytics operations on real teams.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning that names the policy or workflow being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current data science and analytics operations workflows, playbooks, and firm policy.
• 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 science ops

Analytical thinking

Policy adherence

Rubrics

Remote work

Tools

AI assessment tools

QA tooling

Job description

Data Science and Analytics Experts is a remote review track for evaluating AI outputs across data science and analytics experts 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: $60–$70 / hr · Location: Remote — US-eligible · Contractor

Data Science and Analytics Experts is a remote review track for evaluating AI outputs across data science and analytics experts specialist operations workflows.

Role details

About the role

About the role

Data Science and Analytics Experts is a remote review track for evaluating AI outputs across data science and analytics experts 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 Science and Analytics Experts 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 science and analytics experts specialist operations workflows, playbooks, and firm policy for Data Science and Analytics Experts 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.Track Operations & business review Work model Remote · Independent specialist contractor Compensation $60–$70 / hr Eligible from US

What you should bring

• Direct working experience in data science and analytics experts specialist operations on real teams for Data Science and Analytics Experts 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 science and analytics experts 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

$60–$70 / hr
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 Science and Analytics Experts specialist operations