Associate Data Partnerships Manager

AI Trainer Jobs; United States; Remote; USD 110,000 - 124,000; Full time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs seeks an Associate Data Partnerships Manager for a remote review track evaluating AI outputs across data partnerships manager specialist operations workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the next steps for the modeling team to train on it.

As an independent contractor, you will operate remotely in the US with an hourly rate confirmed after interview.

Qualifications

• Experience reviewing AI outputs against playbooks and firm policies.
• Ability to name policy/workflow references clearly in justification.
• Strong attention to detail and structured reasoning.

Responsibilities

• Review AI outputs against data partnerships manager workflows and policy.
• Grade tone, escalation logic, and stakeholder fit on a rubric.
• Flag operational risk and policy-adherence gaps with severity tags.
• Capture the right next steps so the modeling team can train on it.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Data Partnerships Manager specialist

Tools

AI-assisted workflow tooling

Job description

Associate Data Partnerships Manager is a remote review track for evaluating AI outputs across data partnerships manager 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

Associate Data Partnerships Manager is a remote review track for evaluating AI outputs across data partnerships manager specialist operations workflows.

About the role

Associate Data Partnerships Manager is a remote review track for evaluating AI outputs across data partnerships manager 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 Manager 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 manager specialist operations workflows, playbooks, and firm policy for Associate Data Partnerships Manager 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.

Role details

Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Direct working experience in data partnerships manager specialist operations on real teams for Associate Data Partnerships Manager 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.

Role signals

Example tasks

• Grade a model's response to a real data partnerships manager 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 Manager specialist operations