Data Scientist

Overview

Surge is looking for a Data Scientist to work directly with leading AI labs on how models are trained, evaluated, and improved. The role centers on understanding model performance bottlenecks, designing targeted data collection strategies, and analyzing experimental results to help drive model progress.

This position is a fit for someone who enjoys ambiguous problems, rapid iteration, and turning messy real-world feedback into practical insight. The work sits close to frontier AI development and helps shape how advanced models learn and align with human values.

What You’ll Do

• Design data collection workflows tailored to specific model needs.
• Build quality controls that help reduce bias and support model safety.
• Run experiments that make leading models more insightful, compelling, safe, and human-aligned.

What They’re Looking For

• Strong interest in data analysis and improving model performance through better collection methods.
• Familiarity with large language models, including concepts like fine-tuning, RLHF, evaluation, and model behavior.
• Experience working closely with AI researchers or technical customers and translating complex behavior into clear insights.
• Python proficiency for analysis, pipelines, and workflow prototyping.

Context

• Surge says it partners with companies such as OpenAI, Anthropic, Meta, and Google.
• The company describes itself as profitable from day one and notes that it has not raised venture funding.