Generalist
Worked on AI data annotation and evaluation projects involving natural language understanding, reasoning assessment, and response quality analysis. Tasks included reviewing AI-generated outputs, labeling data according to detailed project guidelines, identifying factual inconsistencies, evaluating relevance and coherence, and providing structured feedback to improve model performance. The project involved large-scale datasets processed through proprietary platforms, with work completed under strict quality assurance standards including guideline compliance, accuracy thresholds, consistency checks, reviewer audits, and time-tracking protocols. Collaboration and communication were maintained through Slack and project onboarding systems while adhering to confidentiality and data security requirements.