About this role
Join a high-impact AI training and data annotation initiative as a CUA Data Annotation Trainer. This role is pivotal in enhancing the quality of data annotation processes and ensuring operational excellence. You will leverage your hands-on experience with CUA-based projects to train annotators, maintain high standards of annotation quality, and create comprehensive process documentation.
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.