Data Annotator
- Annotated and labeled video, image, and multimodal datasets to support machine learning and AI model development. - Applied detailed English-language annotation guidelines to complex real-world scenarios with high accuracy and consistency. - Identified edge cases and ambiguous data, documenting issues and escalating questions clearly to QA and team leads. - Maintained quality benchmarks through self-review and continuous improvement based on QA feedback. - Completed annotation tasks within required throughput and turnaround times while ensuring precision. - Used web-based annotation tools and platforms to efficiently process and submit tasks. - Followed strict workflows, documentation standards, and confidentiality requirements for sensitive data. - Collaborated with remote teams, participating in training, calibration sessions, and guideline updates. - Communicated clearly in English to resolve annotation questions and improve task quality.