CUA Quality Analyst at Turing

CUA Quality Analyst | Contractor | Remote | 2-Week Engagement

Turing is seeking detail-oriented CUA Quality Analysts to support a high-impact AI training and data annotation initiative. You will play a critical role in ensuring annotation quality, training annotators, building process documentation, and driving operational excellence across AI training datasets.

About Turing

Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing partners 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. Turing also works with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems inside mission-critical workflows.

Key Responsibilities

• Quality Assurance & Review: Review annotated data, conduct periodic evaluations, and provide actionable feedback to ensure adherence to project standards, quality metrics, and SLAs.
• Training & Onboarding: Train, mentor, and onboard data annotators on CUA project guidelines, workflows, and continuous learning programs.
• Documentation & SOP Creation: Create and maintain training materials, annotation guidelines, and process documentation for project workflows.
• Process Optimization & Calibration: Support pilot runs, calibration exercises, and resolve edge cases and rubric ambiguities in collaboration with QA leads and project managers.
• Operational Excellence: Identify process gaps, recommend workflow enhancements, and ensure consistent alignment with project benchmarks and deadlines.

Requirements

• Technical Setup: Personal computer with a minimum of 16GB RAM, stable high-speed internet, and access to Windows, Linux, or macOS capable of running project tools securely.
• Core Competencies: Strong understanding of data annotation workflows, quality metrics, and human-in-the-loop AI operations; ability to follow detailed documentation and navigate complex software applications.
• Preferred Experience: Prior experience on CUA projects, data annotation or labeling initiatives, and training or mentoring annotation teams.
• Analytical Skills: Excellent written communication for SOP drafting, strong problem-solving abilities, meticulous attention to detail, and strict adherence to confidentiality and data-handling protocols.

Education & Experience

• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred.

Engagement Details

• Commitment: 40 hours per week, with at least 4 hours of daily overlap with the Pacific Time Zone.
• Type: Contractor/Freelancer — task-based assignment (no medical or paid leave benefits).
• Duration: 2 weeks.

Application Process

Shortlisted candidates will receive a Job Interest Form. Final selected candidates will be contacted with next steps and onboarding requirements.