Lead Generative AI Analyst
New
Based in India, US business hoursFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- Quality AssuranceGenerative AI
Requirements
- Proven experience in a client-facing delivery or operations role within data operations, AI annotation, or similar environments.
- Prior experience managing teams, including performance management and operational oversight.
- Strong written and verbal communication skills in English, with the ability to engage confidently with international stakeholders.
- Demonstrated ability to independently identify issues, solve problems, and drive execution without heavy supervision.
- Experience working with annotation workflows, data labeling operations, or AI training data environments is highly preferred.
- Strong organizational and analytical skills with the ability to manage multiple parallel workstreams.
- Comfortable working during US business hours and in fast-paced, high-accountability environments.
- Additional language proficiency is a plus.
Responsibilities
- Lead and manage a team of multimodal annotators and reviewers, including performance management, coaching, 1:1s, and staffing decisions.
- Oversee onboarding and ramp-up processes, ensuring new hires are effectively trained and integrated into workflows.
- Own client engagement on a day-to-day basis, including meeting preparation, call facilitation, and clear documentation of action items.
- Proactively communicate risks, blockers, and delivery issues with recommended solutions and mitigation plans.
- Manage program execution across multiple workstreams, ensuring alignment with scope, timelines, and dependencies.
- Track quality, throughput, and error metrics, taking corrective actions when performance targets are not met.
- Conduct root cause analysis (RCCA) for quality or delivery issues and implement systemic improvements.
- Design and maintain quality assurance workflows, including audits, sampling strategies, and annotation calibration processes.
- Monitor budget and cost metrics, ensuring visibility into spend and operational efficiency.
- Maintain reporting dashboards and provide transparent updates on delivery health, risks, and team performance.
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