Response Correctness Evaluation
Given a query and its response (converted from JSON), the task is to evaluate the response for correctness, completeness, and utility.
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Detail-oriented and tech-savvy professional with experience in data annotation, AI model evaluation, and quality assurance. Skilled in applying complex annotation guidelines to assess AI-generated outputs for accuracy, relevance, bias, and safety. Proven track record in software testing, requirement analysis, and Agile methodologies, with a solid foundation in programming and database management. Adept at remote, independent work while meeting tight deadlines and maintaining high-quality standards. Passionate about contributing to AI model improvement through precise labeling, evaluation, and structured feedback.
Given a query and its response (converted from JSON), the task is to evaluate the response for correctness, completeness, and utility.
Technician, Web And Mobile Development
Bachelor's Degree (Incomplete), Economics
QA Tester
QA Intern