Talent Operations Manager - Remote

• Job Title: Talent Operations Manager
• Job Type: Full-time
• Location: Remote

About the hiring company:

Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.

The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.

Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.

Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.

The Role

Scale the human data engine behind frontier AI systems. Own onboarding, talent activation, and client success across high-velocity AI training deployments. Operate at the intersection of data, operators, and enterprise delivery.

What You’ll Own

1. Run large-cohort onboarding at scale (fast, clean, zero chaos).
2. Activate and manage distributed talent pools powering AI training + data ops.
3. Build and maintain high-trust enterprise client relationships.
4. Anticipate blockers before they surface — solve with speed and clarity.
5. Drive customer success outcomes across ongoing AI deployments.
6. Publish weekly performance + milestone reports (no noise, high signal).
7. Host community syncs / engagement rituals to keep operators sharp.
8. Partner with product + engineering to align talent ops with shifting model and client needs.
9. Continuously refine onboarding, QA, and retention systems using data.

What We're Looking For

1. Elite written communicator. Clear. Structured. Direct.
2. Proven operator in remote, distributed environments.
3. Deep ownership mindset — you don’t “manage,” youown.
4. Comfortable leading 100+ contributors without losing signal.
5. Thrives in ambiguity, velocity, and constant iteration.
6. Data-fluent — dashboards, KPIs, performance diagnostics.

Preferred

1. Experience in Human Data, RLHF, AI training pipelines.
2. Background working with enterprise AI or technical clients.
3. Built or scaled data ops / talent ops systems before.
4. Familiar with modern tooling (ATS, analytics, project ops, automation).

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $50,000 –$70,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. They provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. They reserve the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.