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 looking for experienced and detail-oriented CUA Data Annotation Trainers to support a high-impact AI training and data annotation initiative. The ideal candidate should have hands-on experience working on CUA-based projects along with strong exposure to data annotation workflows, quality assurance, and trainer operations . The role involves training annotators, ensuring annotation quality, creating process documentation, troubleshooting workflow issues, and driving operational excellence across annotation tasks.

Key Responsibilities

• Review annotated data and provide actionable feedback to improve quality.
• Ensure adherence to project-specific annotation standards and SLAs.
• Collaborate with QA teams and project managers to resolve edge cases and ambiguities.
• Create and maintain training materials, SOPs, and annotation guidelines.
• Train and mentor data annotators on CUA project guidelines and workflows.
• Conduct onboarding sessions and continuous learning programs for new annotators.
• Monitor annotator performance and conduct periodic quality evaluations.
• Support pilot runs, calibration exercises, and workflow improvements.
• Identify process gaps and recommend operational enhancements.

Requirements

• Computer with 16GB RAM minimum.
• Stable high-speed internet connection.
• Ability to install and run project-related tools/software securely.
• Access to at least one of the following operating systems : Windows; Linux; or macOS.
• Strong ability to follow step-by-step written documentation and execute tasks precisely.
• Comfort with using and navigating a wide range of computer applications.
• Ability to maintain confidentiality and adhere to data-handling protocols.

Preferred Skills

• 3 to 4 years of experience working on CUA projects.
• Prior experience in data annotation / data labeling projects.
• Strong understanding of annotation quality metrics and review methodologies.
• Experience training or mentoring annotation teams preferred.
• Familiarity with AI/ML data workflows and human-in-the-loop operations.
• Excellent communication and documentation skills.
• Strong analytical and problem-solving abilities.
• Ability to work independently in a fast-paced environment.

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 assignment/freelancer (no medical/paid leave), Task Based.
• Duration: 4 weeks.