Bright

Dumashie

Detail-oriented AI Data Reviewer and Multilingual Annotation Specialist with 4+ years of experience supporting AI and data operations through accurate annotation, rubric-based evaluation, and quality control. Skilled in evaluating and rating AI-generated responses against detailed rubrics across text, audio, and video modalities, including LLM output evaluation, ATC audio transcription, and robotics video review. Comfortable working across general and specialist domains, with strong attention to guideline adherence, consistency, and factual accuracy. Certified micro1 Data Labeler committed to advancing AI model reliability.