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.

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 has hands-on experience 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.

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 and software securely.
• Access to at least one of: Windows, Linux, or macOS.
• Strong ability to follow step-by-step written documentation and execute tasks precisely.
• Comfort using and navigating a wide range of computer applications.
• Ability to maintain confidentiality and adhere to data-handling protocols.

Preferred Skills

• 3-4 years of experience working on CUA projects.
• Prior experience in data annotation or data labeling projects.
• Strong understanding of annotation quality metrics and review methodologies.
• Experience training or mentoring annotation teams.
• Familiarity with AI/ML data workflows and human-in-the-loop operations.
• Excellent communication and documentation skills.

Offer Details

• Commitment: 40 hours per week, with some overlap with PT time zone (3-4 hours/day).
• Engagement type: contractor assignment / freelancer (no medical or paid leave), task based.
• Duration: 4 weeks.