GenAI Engineer – Test Agent / CI Integration

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

3–4 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: 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.