Quality Control Lead

AfterQuery•San Francisco, CA

20h•$150,000 - $275,000•Onsite

About The Position

AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.

Requirements

3+ years of experience in a technical role (software engineering, data science, ML engineering, or similar) with hands-on proficiency in at least one modern programming language
Proven ability to review, debug, and evaluate both code and technical data and knowledge work data for correctness, structure, and quality; demonstrated rigor in reviewing others' work
Experience building or leading a quality assurance/quality control function, ideally for a technical or data-centric product
Extremely high attention to detail and comfort making judgment calls on ambiguous or contested technical content
Strong leadership and communication skills; able to translate technical quality issues into clear, actionable feedback across a distributed team
High agency and strong work ethic; comfort operating with minimal direction in ambiguous, fast-moving environments
Genuine passion for AI and an entrepreneurial inclination
Demonstrated competitive success

Nice To Haves

Experience in AI training data, RLHF, or data-annotation quality assurance
Background reviewing datasets across multiple domains (code, reasoning, knowledge work)
Experience designing rubrics, grading criteria, or automated quality-check tooling/scripts
Familiarity with Claude Code or similar AI-assisted workflow tools
Computer science degree or equivalent hands-on engineering background

Responsibilities

Own the last quality checkpoint before datasets are delivered or published, auditing outputs (including code, technical, and reasoning data) for correctness, clarity, structure, and adherence to spec.
Work with infrastructure engineers to continuously automate and improve QC workflows
Partner with data delivery teams to identify systemic quality issues, feed corrections back into contributor training, and prevent recurrence.
Own quality metrics and KPIs, reporting on error rates, root causes, and improvement trends to company leadership.
Contribute to company-wide initiatives across building, analysis, coordination, and execution as AfterQuery scales.