Talent Operations Manager

Role Overview

Lead the operational systems that onboard, activate, and support distributed expert talent contributing to high-velocity AI training and data operations. This remote, full-time role connects talent operations, enterprise delivery, data, product, and engineering to help AI deployments run effectively at scale.

Key Responsibilities

• Run large-cohort onboarding efficiently and reliably at scale.
• Activate and manage distributed talent pools supporting AI training and data operations.
• Build and maintain trusted relationships with enterprise clients.
• Identify and resolve operational blockers quickly and clearly.
• Drive customer-success outcomes across ongoing AI deployments.
• Publish weekly performance and milestone reports with clear, relevant insights.
• Lead community syncs and engagement practices that help operators stay effective.
• Partner with product and engineering teams as model and client requirements evolve.
• Use data to continually improve onboarding, quality assurance, and retention systems.

Qualifications

• Excellent written communication skills, with a clear, structured, and direct approach.
• Experience operating in remote, distributed environments.
• Strong ownership, stakeholder-management, cross-functional collaboration, and leadership skills.
• Ability to lead more than 100 contributors while maintaining operational visibility.
• Comfort working through ambiguity, rapid change, and continuous iteration.
• Data fluency, including dashboards, KPIs, and performance diagnostics.
• Experience with large-scale onboarding is required.
• Preferred: experience in human data, RLHF, or AI training pipelines; work with enterprise AI or technical clients; building or scaling data operations or talent operations systems; and modern ATS, analytics, project-operations, and automation tools.

Work Terms

• Remote, full-time position.
• The role supports ongoing AI training and data-operations deployments.

Compensation

• The listing states a compensation range of $70, 000 to $110, 000 per year.
• A separate compensation notice states a base-salary range of $50, 000 to $70, 000 USD for this full-time position.
• Employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and applicable policies.
• Benefits include up to 100% reimbursement of health-insurance premiums, paid time off, a 401(k) plan with company match, and additional remote-workforce benefits.

Eligibility and Application Process

• Qualified applicants are considered without regard to protected characteristics under applicable laws.
• Reasonable accommodation may be requested during the application process through the listed support contact.
• Candidate screening and assessment use AI tools to assist human decision-making.