Data Partnerships Lead

AI Trainer Jobs; United States; Remote; USD 96,000 - 138,000; Full time

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

Data Partnerships Lead is a remote review track for evaluating 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.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Data Partnerships Lead is a remote review track for evaluating AI outputs across data partnerships lead specialist operations workflows.

About the role

Data Partnerships Lead is a remote review track for evaluating 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.
Data Partnerships Lead 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 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.

What you should bring

• Direct working experience in data partnerships lead specialist operations on real teams for Data Partnerships Lead 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 data partnerships lead 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
• Data Partnerships Lead specialist operations