AI Training Data Contributor (RLHF, Prompt Engineering, Fact-Checking)
This experience focused on crafting prompts, verifying logic, and fact-checking natural language responses to support AI model training. I employed reinforcement learning from human feedback (RLHF) techniques and prompt engineering to ensure highly accurate, guideline-compliant data for AI systems. Attention to technical clarity, logical consistency, and strict adherence to project specifications were critical throughout the process. • Generated, reviewed, and rated diverse language prompts and completions for training and fine-tuning large language models. • Applied technical reasoning and analytical skills to evaluate AI responses against stringent rubrics. • Participated in feedback loops to repeatedly improve data and outputs based on guideline shifts. • Produced contextually rich, culturally appropriate content tailored to user intent in the Web3 domain.