Remote Data Partnerships QA Lead

AI Trainer Jobs

United States

Remote

USD 96,000 - 138,000

Full time

3 days ago
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Benefits offered by this job

Remote work
Flexible hours

Job summary

AI Trainer Jobs is seeking a Data Partnerships Lead to remotely evaluate AI outputs across data partnerships lead 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.

This contractor role offers flexible hours and an interview-based hourly arrangement; prior experience in data partnerships operations and strong documentation skills are desirable.

Qualifications

  • Direct working experience in data partnerships lead specialist 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 with 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 data partnerships lead specialist operations workflows, playbooks, and firm policy for Data Partnerships Lead 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
Data partnerships lead

Job description

AI Trainer Jobs is seeking a Data Partnerships Lead to remotely evaluate AI outputs across data partnerships lead 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.

This contractor role offers flexible hours and an interview-based hourly arrangement; prior experience in data partnerships operations and strong documentation skills are desirable.

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