Technical Staff, Data - SF

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.

1. Experiment and Benchmark Design

• Develop techniques for collecting, augmenting, filtering, or synthesizing training and evaluation data using creativity and analytical thinking

• Design experiments, in collaboration with machine learning researchers, to assess the impact of different datasets on model performance

• When required, manage human annotators working on data collection efforts – this could include tracking payments and hours, training annotators, and providing technical support, feedback, and quality control

2. Qualitative and Quantitative Data Analysis

• Analyze collected data, e.g. coding tasks, both qualitatively and quantitatively

• Evaluate model behavior to identify its strengths and weaknesses

• Clearly communicate findings with machine learning research and product teams

3. Data Engineering

• Design, implement, and optimize scalable data pipelines to support reinforcement learning and supervised finetuning

• Leverage LLMs to perform data filtering, cleaning, and augmentation

• 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.

• The opportunity to work at the forefront of AI research and data collection for training cutting-edge models.

• Collaboration with a team of world-class researchers and engineers from top AI labs and companies.

• Competitive compensation and benefits, with opportunities for professional growth.