I will annotate, label, and evaluate data for ai and llm training

I help AI companies and ML teams produce high-quality labeled data and structured evaluations for model training and benchmarking.

My experience includes building evaluation rubrics and scoring criteria for LLM outputs, annotating data across specialized domains (healthcare, finance, real estate, education), and conducting side-by-side response comparisons with clear pass/fail reasoning.

What I offer:

• Accurate data labeling and annotation (text, categorical, domain-specific)
• Rubric and scoring criteria design for model evaluation
• Detailed, consistent evaluation writeups following your SOP/guidelines
• Careful attention to instruction-following and edge cases

I work methodically and communicate clearly if requirements are ambiguous accuracy over speed, always.