Talent Operations Lead - Remote AI Deployments

Remotebridge

United States

Remote

USD 50,000 - 70,000

Full time

37 hours ago
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Benefits offered by this job

Equity compensation
Performance-based bonuses
Health-insurance premium reimbursement
Paid time off
401(k) with company match
Remote-first workforce

Job summary

micro1 is seeking a Talent Operations Manager to scale onboarding, talent coordination, and client success across AI training deployments in a remote setup. You will work across contributors, internal teams, and enterprise clients to keep projects moving and ensure timely activation.

This hands-on operations role emphasizes coordinating large groups rather than managing direct reports, with real ownership and cross-team collaboration to influence AI systems developed for customers.

Qualifications

  • Strong written communicator.
  • Highly organized and comfortable coordinating a lot of moving pieces.
  • Proactive - you spot gaps, follow through, and don’t wait for someone else to solve the problem.
  • Comfortable working with data, dashboards, and KPIs.
  • Able to move quickly when priorities or requirements change.
  • You don’t need extensive management experience for this role; focus is on coordination and execution.

Responsibilities

  • Run large-cohort onboarding and activation.
  • Coordinate distributed talent pools across multiple AI training and data operations projects.
  • Work closely with enterprise clients and internal teams to keep deployments on track.
  • Anticipate blockers and drive them to resolution.
  • Track project performance and publish weekly updates on milestones, risks, and outcomes.
  • Run community syncs and engagement initiatives for contributors.

Skills

Communication
Organization
Proactivity
Data-driven
Adaptability
Coordination

Job description

micro1 is seeking a Talent Operations Manager to scale onboarding, talent coordination, and client success across AI training deployments in a remote setup. You will work across contributors, internal teams, and enterprise clients to keep projects moving and ensure timely activation.

This hands-on operations role emphasizes coordinating large groups rather than managing direct reports, with real ownership and cross-team collaboration to influence AI systems developed for customers.

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