AI Training & Data Evaluation Contributor
Handshake AI
San Francisco
11.2025 - Current
- Conducted data annotation and evaluation to enhance AI model performance and reliability
- Evaluated AI-generated responses for accuracy and reasoning quality, ensuring alignment with project standards
- Develop and refine prompts for LLM testing and improvement
- Provided structured feedback to enhance model outputs
- Explored AI systems and machine learning applications.
- Work independently in an asynchronous remote environment
- Adapted to working independently in remote settings.
- Learned essential technical and analytical skills for AI research workflows.