QUALIFICATIONS:

• Software engineering background with experience building data processing pipelines at scale, particularly with LLM integration
• Proficiency in Python or other programming languages (Go, TypeScript, etc.)
• Detail-oriented and analytical, with the ability to conduct careful qualitative and quantitative data analysis.
• Excellent organizational and communication skills to collaborate closely with cross-functional teams and manage human data operations
• Experience with machine learning, reinforcement learning, and LLMs is a plus, but not strictly required.

ROLE OVERVIEW:

Data quality and diversity is the foundation for training the best agents in any domain. As a member of the Data Team at Reflection, you will play a pivotal role in shaping how we collect and analyze human, synthetic, and internet data. This is an interdisciplinary role that primarily requires engineering, research, and communication skills, along with a sharp attention to detail and willingness to “roll up your sleeves” and look at the data.