Key Skills

Software

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Text Generation

Translation Localization

Prompt Response Writing SFT

Freelancer Overview

I have extensive experience in high-precision data annotation and linguistic evaluation for large-scale AI models. My background includes performing pairwise comparisons and RLHF (Reinforcement Learning from Human Feedback) tasks, where I specialized in ranking model outputs based on grammatical accuracy, factual grounding, and regional linguistic nuances. I am proficient in using web-based labeling platforms to categorize diverse datasets, including text and audio, while maintaining a high quality-throughput ratio and strictly adhering to complex project guidelines. What sets me apart is my ability to handle complex taxonomies and technical documentation with a high level of rigor and analytical detail. I have a proven track record of adapting quickly to new labeling tools and consistently delivering high-quality data under tight deadlines. My focus on consistency and my capacity to identify subtle errors in AI-generated content make me a reliable asset for improving model performance and safety across different content types.

Labeling Experience

LLM Response Ranking and Linguistic Refinement

OneformaTextText GenerationTranslation Localization

Participated in a large-scale RLHF (Reinforcement Learning from Human Feedback) project aimed at improving chatbot conversational flow. The scope involved performing pairwise comparisons of model outputs to rank them based on helpfulness, honesty, and safety. Specific tasks included identifying hallucinations, correcting grammatical inconsistencies, and labeling intent across 2,500+ unique text strings. Adhered to strict quality measures including a 97% accuracy threshold on gold-standard audit tasks and consistent alignment with 50+ page project-specific guidelines.

Participated in a large-scale RLHF (Reinforcement Learning from Human Feedback) project aimed at improving chatbot conversational flow. The scope involved performing pairwise comparisons of model outputs to rank them based on helpfulness, honesty, and safety. Specific tasks included identifying hallucinations, correcting grammatical inconsistencies, and labeling intent across 2,500+ unique text strings. Adhered to strict quality measures including a 97% accuracy threshold on gold-standard audit tasks and consistent alignment with 50+ page project-specific guidelines.

2025 - 2025

Education

Work History