Remote Coding Research Reviewer - AI Workflow QA

AI Trainer Jobs

United States

Remote

USD 99,000 - 135,000

Full time

2 days ago
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Job summary

AI Trainer Jobs seeks a Member of Technical Staff, Coding Research for a remote reviewer role. You will evaluate AI outputs across coding research workflows, grade workflow correctness, policy adherence, and stakeholder fit, and document next steps for model training.

This is a contractor, remote position with US-eligibility, hourly pay of $85, and expected ongoing collaboration with the modeling team to improve operational guidance and tool use.

Qualifications

  • Direct working experience in member of technical staff coding research operations on real teams.
  • Ability to apply 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 member of technical staff coding research specialist operations workflows, playbooks, and firm policy for Member of Technical Staff, Coding Research 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

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Coding research operations

Tools

AI tooling

Job description

AI Trainer Jobs seeks a Member of Technical Staff, Coding Research for a remote reviewer role. You will evaluate AI outputs across coding research workflows, grade workflow correctness, policy adherence, and stakeholder fit, and document next steps for model training.

This is a contractor, remote position with US-eligibility, hourly pay of $85, and expected ongoing collaboration with the modeling team to improve operational guidance and tool use.

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