talent growth lead – ai/llm workforce will lead the growth and development of a scalable on-demand talent ecosystem to support fast-moving ai/llm and data projects globally.

key responsibilities

- build and scale a general gig talent pipeline across ai, data, language, coding and domain expertise.
- develop sourcing channels through gig platforms, communities, referrals, campuses and partnerships.
- own the end-to-end talent journey – sourcing, profiling, assessment, onboarding, engagement and activation.
- build and maintain validated talent pools for rapid project deployment.
- drive candidate engagement and improve conversion, activation and retention.
- partner with delivery, recruitment and project teams to translate requirements into actionable talent pipelines.
- track pipeline, quality, activation, utilization and cost metrics and drive continuous improvement.




- identify new talent channels, platforms and innovative approaches to scale the workforce.

ideal profile

- 5–8 years of experience in talent acquisition, gig workforce, talent marketplace or high-volume recruitment.
- strong experience in building and scaling talent communities/pipelines.
- data-driven, commercially oriented and comfortable working in a fast-changing environment.
- strong stakeholder management and communication skills.
- exposure to ai/llm, data annotation, content, language or domain-expert talent is an advantage.

success measures

talent pipeline | speed to activate | quality | conversion | cost | retention | project deployment

📌 Talent growth lead – ai/llm workforce (México)
🏢 Innodata
📍 México