Outlier
Evaluated and corrected AI-generated code responses for accuracy, clarity, and efficiency. Worked primarily with Python, JavaScript, React, SQL, and Git on the Almanac project. Performed prompt-response annotation for Supervised Fine-Tuning (SFT) of large language models. Reviewed code snippets for logical errors, syntax correctness, and best practices. Provided detailed feedback to improve model performance in coding tasks. Collaborated with quality calibration webinars to ensure annotation consistency. Consistently met project metrics and delivery deadlines.