About this role
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.