India

CUA Data Annotation Trainer (Eluru)

CUA Data Annotation Trainer (Eluru)
Description
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 robust 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 Apply on Kit Job: kitjob.in/job/4m2s47
Highlights
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