NEERAJ SINGH

Conducted end-to-end quality audits on large-scale AI/LLM data annotation tasks, ensuring accuracy, consistency, and strict compliance with project standards.
• Performed detailed error analysis and delivered clear, actionable feedback to analysts to reduce deviation rates and improve overall output quality.
• Led shadow sessions and guideline walkthroughs for new and existing team members to standardize task execution and strengthen understanding of complex instructions.
• Reviewed training data for contextual correctness, relevance, and guideline alignment to ensure model-ready datasets.
• Maintained high discretion while handling sensitive/explicit content, ensuring protocol adherence and secure workflow operations.
• Collaborated with QA leads and project managers to refine benchmarks, enhance feedback loops, and optimize team-wide performance.

• Lead data annotation and moderation tasks for diverse AI models.
• Supervise team attendance, workflow, and day-to-day execution.
• Deliver EOD reports and guide process improvement.
• Conduct quality reviews and feedback sessions for performance uplift.

• Labeled voice/text inputs for Google Assistant NLP models.
• Maintained >95% accuracy in internal performance tests.
• Contributed to enhanced AI voice interaction via structured tagging.
• (Google PQU)

• Handled end-to-end customer support for the Flipkart process, including inbound/outbound calls, fraud checks, international customer resolution, returns management, and refund processing.