Data Analyst Intern / Independent (AI content labeling and data annotation)
Collected, reviewed, and structured labeled datasets containing 10,000+ records for small business clients. Ensured annotation accuracy by checking data quality, consistency, and edge cases across the dataset. Produced labeling-ready outputs that could be used for analysis and potential AI training workflows. • Reviewed and categorized digital content for quality and accuracy • Cleaned and standardized records to improve consistency • Identified ambiguities and handled edge cases during labeling • Documented labeling standards to support reliable dataset usage