I will label, annotate, and perform quality control on your ai datasets

Are you looking for accurate, high-quality data annotation and text evaluation for your AI models?

I provide precise, human-in-the-loop data labeling, RLHF (Reinforcement Learning from Human Feedback) evaluation, and quality assurance to ensure your machine learning and NLP datasets meet strict project guidelines.

Whether you need initial text classification, edge-case analysis, or comprehensive quality control before model training, I deliver clean, structured outputs with absolute attention to detail.

Services Offered:

• Text Annotation: Categorization, sentiment analysis, entity tagging, and intent classification.
• RLHF & Prompt Evaluation: Model ranking, factuality checking, safety, and helpfulness scoring.
• Quality Control & QA: Auditing pre-labeled datasets to fix errors and inconsistencies.
• Written Rationales: Clear explanations for complex edge cases.

Why Work With Me?

• US Native English Speaker: Full mastery of nuance, context, and idioms.
• Strict Guideline Adherence: Precise execution of custom rubrics.
• High Accuracy: Multi-pass QA for reliable dataset quality.

Message me with your guidelines or choose a package to start!