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Appen
Argilla
Data Annotation Tech
Labelbox
Mindrift
Image
Video
Text
Bounding Box
Polygon
Point/Key Point
Polyline
Segmentation
Question AnsweringI have experience in AI training, data annotation, and large language model evaluation, with a focus on assessing model outputs for accuracy, reasoning quality, instruction following, safety, and overall response quality. My work involves applying detailed evaluation rubrics, performing preference ranking (RLHF), identifying hallucinations and edge cases, and providing structured feedback to improve model performance and reliability. In addition, I have participated in quality assurance and calibration workflows to ensure consistency across evaluators. I regularly review complex AI-generated responses, document discrepancies, analyze error patterns, and contribute to guideline refinement. This experience has strengthened my analytical thinking, attention to detail, and ability to maintain high-quality standards in AI training and data labeling projects.
Yes. I have experience in AI training and data labeling through LLM evaluation, RLHF preference ranking, annotation, quality assurance, and rubric-based assessment projects. My work has involved reviewing AI-generated responses for accuracy, instruction following, reasoning quality, safety, and consistency, as well as participating in calibration and quality control workflows to improve model performance.
Master, Computer Applications
Bachelor of Science, Mathematics
Freelance / Independent Contractor AI Evaluation Specialist 2024 – Present Evaluated and annotated AI-generated content
