CUA Data Annotation Trainer | Contractor | Fully Remote | 8-Week Engagement
Turing is seeking experienced and detail-oriented CUA Data Annotation Trainers to support a high-impact AI training initiative. This role is ideal for professionals with hands-on CUA project experience and a strong background in data annotation workflows, quality assurance, and trainer operations. You'll play a key role in shaping annotation quality and driving operational excellence across a cutting-edge AI data pipeline.
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 across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems in mission-critical workflows.
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 the following operating systems: Windows, Linux, or macOS.
- Strong ability to follow step-by-step written documentation and execute tasks precisely.
- Comfort 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.
- Strong analytical and problem-solving abilities.
- Ability to work independently in a fast-paced environment.
Engagement Details
- Hours: 40 hours per week, with 3–4 hours of daily overlap with Pacific Time (PT).
- Type: Contractor/Freelancer — task-based (no medical or paid leave benefits).
- Duration: 8 weeks, with potential for contract extension.
Why Join Turing?
- Competitive pay with fully flexible remote work.
- Gain firsthand insight into how advanced AI systems are trained.
- Collaborate on cutting-edge projects with top LLM companies.
- Build future-proof skills in a globally collaborative environment.
To apply, complete the Job Interest Form and take the required assessment. Candidates who pass the challenge will be contacted by the Turing team.
