I will evaluate and review your ai or llm outputs with human judgment

Is your AI generating responses that sound correct but still contain mistakes? I can help you identify them through careful human evaluation.

I provide AI/LLM evaluation, data annotation, classification, and quality review based on your specific guidelines and evaluation criteria.

I can help identify:

-Factual errors and incorrect information

-Irrelevant or incomplete responses

-Incorrect classifications and false positives

-Unsupported reasoning or conclusions

-Tone and context issues

-Edge cases and guideline violations

I don't blindly accept AI outputs. I carefully compare the response with the original prompt, source information, context, and your rubric before making a judgment. When a case is genuinely unclear, I flag it rather than guessing.

Whether you're building an LLM, training an AI model, creating a dataset, or performing AI quality assurance, I can provide reliable human evaluation to help improve your system.