Shivam Singh

Detail-oriented AI Data Annotation Specialist with hands-on experience evaluating, annotating, and validating data for Large Language Models (LLMs). Skilled in reviewing AI-generated responses for factual accuracy, reasoning quality, safety, and guideline compliance while consistently meeting quality and productivity targets. Strong analytical background supported by a Master of Commerce and experience working with structured data, SQL, and data analytics.

Adept at following complex annotation guidelines, maintaining high accuracy, and collaborating in fast-paced AI training projects.

AI Data Annotation Specialist at Innodata (2025-12 – 2026-07)

• Annotated and evaluated text datasets to improve the performance of Large Language Models (LLMs).
• Reviewed AI-generated responses for factual accuracy, logical reasoning, instruction following, and contextual relevance.
• Applied detailed annotation guidelines to maintain high-quality and consistent labeling standards.
• Identified errors, ambiguities, hallucinations, and safety issues in model outputs and documented findings.
• Performed quality assurance (QA) reviews to ensure annotation consistency and accuracy.
• Worked with cross-functional AI teams to improve model training data and evaluation workflows.
• Maintained productivity while consistently meeting quality and turnaround-time targets in a remote environment.

Data Analysis Intern at MedTourEasy (2023-07 – 2023-08)

• Cleaned, analyzed, and interpreted datasets using SQL and Excel to support reporting and business insights.

Transaction Senior Processor at Conduent Business India LLP (2018-08 – 2018-12)

• Processed transactions, analyzed audio data, and maintained high accuracy in data validation tasks.

Flipkart Seller Support at Teleperformance (2017-03 – 2018-02)

• Resolved seller queries, processed refunds, and managed inventory-related cases.

Master of Commerce – Eklavya University (2022 – 2024)

Bachelor of Commerce & LLB – Renaissance Law College (2016 – 2022)