Data Quality and AI Tooling Specialist

About Us:
Based in San Francisco, California, we're the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. We support customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:
We are looking for a detail-oriented LLM Data Quality and Tooling Specialist to support the training of LLMs through high-quality data validation and lightweight tooling.

Key Responsibilities:
Quality-check (QC) diverse generated samples, including simple Q&A pairs, rubric-based datasets, evaluations, and agentic data, across both STEM and humanities domains.
Create clear and practical guidelines to help internal teams QC their own samples effectively.
Perform hands-on QC work and design/develop simple Python-based tools (primarily using Google Colab) to help internal domain experts efficiently review and validate samples.
Bring strong analytical skills, clear and professional communication, and the ability to translate QC requirements into practical, easy-to-use workflows and utilities.

Perks of working With Us:
Work in a fully remote environment
Opportunity to work on cutting-edge AI projects with leading LLM companies.
​Potential for contract extension based on performance and project needs.

Commitments Required:
At least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)