As an Outsource Research Ops Manager within the GenAI Safety team, you will serve as the backbone of our global operations. You will own the end-to-end infrastructure and workload management for an extensive regional workforce, overseeing specialists dedicated to the research, analysis, and linguistic data essential for training safe, reliable AI models. In this role, you provide the strategic link between internal GenAI teams and global human execution. You will maintain high-level, hands-on management of the talent pipeline, ensuring all personnel are expertly trained and ready to deliver high-quality results against complex safety benchmarks. Core Responsibilities
* Manage the full lifecycle of data operation workforce processes, ensuring infrastructure scales alongside evolving AI safety needs.
* Act as the primary interface for internal GenAI teams, translating technical requirements into actionable workforce deployments.
* Ensure a global network of professionals is expertly trained in safety guidelines and available to meet rigorous delivery timelines.
* Design and implement creative, automated solutions that enable the delivery of world-class safety data.
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.
Requirements: What You Bring
* Proven success managing large-scale projects within the AI safety ecosystem, specifically in red-teaming, data integrity, or model evaluation.
* Extensive experience maintaining and scaling global freelancer networks while ensuring consistent quality across diverse regions.
* A track record of navigating complex environments, with the ability to manage both granular training details and broad regional operations. Requirements
* Bachelors or Masters degree in Linguistics, Computer Science, data Science, Philosophy (Ethics), or a related field bridging technical logic and human communication.
* 5+ years of hands-on project management experience within AI safety or large-scale data annotation environments.
* Excellent verbal and written English; professional proficiency in additional languages is highly preferred to manage global safety nuances.
* Proven ability to initiate and lead projects from the ground up, delivering complete, functional, and well-organized solutions.
* Extremely detail-oriented with experience implementing rigorous QA frameworks under pressure in fast-paced environments.
* A demonstrated ability in managing multiple high-priority workstreams independently, with a dedicated focus on managing talent development and driving organizational success.
This position is open to all candidates.