Engineering Professional

AI Trainer Jobs

United States

Remote

USD 114,000 - 162,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking an experienced reviewer for a remote Engineering Professional track. You will evaluate AI outputs within engineering workflows, grade policy adherence, and ensure stakeholder fit, flag risks, and document next steps so the modeling team can train on them.

Ideal candidates bring direct experience with engineering specialist operations, strong analytical reasoning, and familiarity with AI-assisted workflow tooling.

Qualifications

  • Direct working experience in engineering specialist operations on real teams.
  • Clear written reasoning that names the policy or workflow being applied.
  • Familiarity with AI-assisted workflow tooling and its failure modes.

Responsibilities

  • Review AI outputs against current engineering specialist operations workflows, playbooks, and firm policy for Engineering Professional 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.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Engineering specialist operations
AI model evaluation

Tools

AI-assisted workflow tooling

Job description

Engineering Professional is a remote review track for evaluating AI outputs across engineering 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: $100 / hr · Location: Remote — US-eligible · Contractor

Engineering Professional is a remote review track for evaluating AI outputs across engineering specialist operations workflows.

Role details
About the role

Engineering Professional is a remote review track for evaluating AI outputs across engineering 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.
Engineering 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 engineering specialist operations workflows, playbooks, and firm policy for Engineering Professional 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 engineering specialist operations on real teams for Engineering Professional 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 engineering 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

$100 / 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
  • Engineering specialist operations
  • AI model evaluation
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.

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