Yana G

Product Data Operations Analyst

Meta • Temps plein

Aug 2024 - Present • 2 yrs

• Annotate, review, and validate 5,000+ metadata records for AI/ML training workflows, improving dataset discoverability by 45% through precise labeling and QA controls. • Deliver 98% annotation accuracy while applying detailed, evolving instructions to maintain consistency across high-volume training data workflows. • Conduct quality audits on 10,000+ data entries, identify inconsistencies, and maintain 99.98% data integrity across structured datasets used for downstream model performance. • Support AI model improvement by detecting errors, flagging edge cases, and ensuring labeled data meets strict review standards expected in production environments

gTech Content Analyst

Google • Temps plein

Nov 2024 - Aug 2025 • 9 mos

• Evaluated large volumes of web and product content using detailed annotation guidelines to assess user intent, relevance, and quality. • Classified content using structured taxonomies and labeling frameworks that supported machine learning models and automation systems . • Identified misclassifications and recurring error patterns through daily review workflows, improving operational consistency and annotation quality. • Maintained high accuracy while adapting quickly to changing specifications, review criteria, and throughput expectations.

Engineering TSQA Analyst

LinkedIn • Temps plein

Jan 2022 - Jan 2024 • 2 yrs

• Investigated and resolved 1,400+ violations per month, identifying patterns that supported platform integrity for 800M+ users. • Trained and reviewed AI systems designed to identify harmful content, exceeding weekly audit targets of 224+ cases with 90% accuracy. • Applied structured policies and review rubrics to evaluate content quality, flag violations, and deliver consistent decisions across repetitive, high-volume audit work. • Partnered with product and engineering teams to improve review quality, policy alignment, and execution consistency.