CUA Pod Lead for AI Data Annotation

The role of CUA Data Annotation Trainer is pivotal in managing and leading teams focused on high-impact AI training and data annotation initiatives. This position requires an experienced and proactive individual who can drive operational excellence and ensure the quality and productivity of annotation workflows.

Key Responsibilities

• Lead and manage teams of CUA Data Annotation Trainers and Annotators.
• Drive operational excellence across annotation workflows and delivery pipelines.
• Ensure adherence to project guidelines, quality benchmarks, and SLA requirements.
• Monitor team productivity, utilization, and performance metrics.
• Conduct regular calibration sessions and quality reviews to ensure annotation consistency.
• Collaborate with QA teams, project managers, and cross-functional stakeholders to address edge cases and process ambiguities.
• Support onboarding, training, and continuous learning initiatives for team members.
• Identify workflow inefficiencies and implement process improvements.
• Provide coaching, mentorship, and performance feedback to team members.
• Track project progress and prepare operational reports for stakeholders.
• Handle escalation management and support issue resolution in a timely manner.
• Contribute to SOP creation, documentation updates, and operational best practices.

Qualifications

• 3-4 years of overall experience in CUA projects, AI data operations, or data annotation programs.
• Minimum 2 years of experience leading or managing annotation/training teams.
• Strong understanding of annotation quality metrics, review methodologies, and operational KPIs.
• Prior experience working on CUA-based workflows preferred.
• Experience managing high-volume annotation operations and delivery timelines.
• Strong stakeholder management and communication skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Ability to work independently in a fast-paced and dynamic environment.
• Experience with process improvement and workflow optimization initiatives preferred.

Preferred Skills

• Familiarity with AI/ML data workflows and human-in-the-loop operations.
• Experience handling pilot programs, calibration exercises, and quality governance.
• Strong documentation and reporting capabilities.
• Ability to mentor and develop high-performing annotation teams.

Why Join Us

Join a mission-driven organization that accelerates superintelligence to drive real economic progress, collaborating with frontier AI labs and Fortune 500 enterprises.