Remote ML Evaluation & QA Specialist

AI Trainer Jobs

United States

Remote

USD 88,000 - 118,000

Full time

2 days ago
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Job summary

AI Trainer Jobs seeks a remote Machine Learning Expert reviewer to assess AI outputs across operations workflows. You will evaluate tone, policy adherence, and escalation logic, and document actionable next steps for the modeling team to train on.

This contractor role requires strong attention to detail, the ability to apply multi-page rubrics, and clear reasoning naming the policy or workflow used. Flexible hours and remote collaboration offered.

Qualifications

  • Direct working experience in machine learning specialist operations on real teams for Machine Learning Expert 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.

Responsibilities

  • Review AI outputs against current machine learning specialist operations workflows, playbooks, and firm policy for Machine Learning Expert 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
Machine Learning specialist operations

Job description

AI Trainer Jobs seeks a remote Machine Learning Expert reviewer to assess AI outputs across operations workflows. You will evaluate tone, policy adherence, and escalation logic, and document actionable next steps for the modeling team to train on.

This contractor role requires strong attention to detail, the ability to apply multi-page rubrics, and clear reasoning naming the policy or workflow used. Flexible hours and remote collaboration offered.

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