CUA Data Annotation Trainer

About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models.

About the role

We are seeking an experienced and proactive CUA Pod Lead to manage and lead teams working on high-impact AI training and data annotation initiatives. The ideal candidate should possess strong operational leadership capabilities, hands-on exposure to CUA-based projects, and experience managing annotation teams at scale.

The Pod Lead will be responsible for overseeing day-to-day annotation operations, driving quality and productivity, mentoring trainers and annotators, resolving workflow challenges, and ensuring smooth execution of project deliverables. This role requires strong people management, process optimization, and stakeholder coordination skills.

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.

  Requirements

• 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

• Competitive pay and flexible remote work.
• Learn how advanced AI systems are trained.
• Be part of cutting-edge projects with top LLM companies.
• Potential for contract extension.
• Freelance perks: flexibility, global collaboration, and future-proof skills.

Offer Details:

• Commitments Required: 40 hours per week, with some overlap with PT Time Zone (3 -4 hours/day).
• Engagement type: Contractor/freelancer (no medical/paid leave.
• Duration: 8 weeks.

Application Process:

• Interested talents must fill the Job Interest Form and take the assessment.
• Once you clear the challenge, you will be contacted by our team.