AI Evaluation & Data Quality Specialist (Remote Technical Operations)
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Evaluated AI system outputs by reviewing prompt responses according to detailed platform guidelines. Assessed data quality, error identification, and conducted structured feedback cycles addressing technical accuracy in the context of cloud and DevOps domains. Performed documentation QA and reviewed performance for human-in-the-loop model improvement tasks.
• Conducted prompt-output assessments and guideline-based scoring
• Executed data quality reviews, annotation QA, and error flagging
• Provided structured, detailed, written feedback on technical responses
• Supported workflow validation, issue reproduction, and quality control
Evaluated AI system outputs by reviewing prompt responses according to detailed platform guidelines. Assessed data quality, error identification, and conducted structured feedback cycles addressing technical accuracy in the context of cloud and DevOps domains. Performed documentation QA and reviewed performance for human-in-the-loop model improvement tasks. • Conducted prompt-output assessments and guideline-based scoring • Executed data quality reviews, annotation QA, and error flagging • Provided structured, detailed, written feedback on technical responses • Supported workflow validation, issue reproduction, and quality control
2022 - Present