Product Owner

AI Trainer Jobs; United States; Remote; USD 97,000 - 138,000; Full time

Benefits offered by this job

Remote work

Contractor

Job summary

AI Trainer Jobs is seeking a Product Owner to conduct remote reviews of AI outputs across product owner specialist operations workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document actionable next steps so the modeling team can train on it.

Contractor role with an $85/hr rate for US-eligible remote work. You will apply multi-page rubrics, bring experience in product owner operations, and provide clear written reasoning for

Qualifications

• Direct working experience in product owner operations on real teams.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning naming the policy or workflow applied.

Responsibilities

• Review AI outputs against product owner workflows and firm policy.
• Grade tone, escalation logic, and stakeholder fit on a rubric.
• Flag operational risk, missed escalations, and policy gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputes against published playbooks or guidance.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Product Owner operations

Tools

AI tooling

Job description

Product Owner is a remote review track for evaluating AI outputs across product owner 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

Product Owner is a remote review track for evaluating AI outputs across product owner specialist operations workflows.

Role details

About the role

Product Owner is a remote review track for evaluating AI outputs across product owner 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.
Product Owner 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 product owner specialist operations workflows, playbooks, and firm policy for Product Owner 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.

What you should bring

• Direct working experience in product owner specialist operations on real teams for Product Owner 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 product owner 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
• Product Owner specialist operations

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.