Quality Control Lead

Why Apply

Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.

Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.

Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley - work alongside world-class engineers and researchers.

We're looking for a Quality Control Lead to own the final checkpoint between raw data and delivered product. You'll be the person who decides what's good enough to ship, the coach who helps contributors get better, and the builder who automates away the errors that shouldn't happen twice.

Key Responsibilities

• Final Quality Review: 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.
• QC Process & Tooling: Work with infrastructure engineers to continuously automate and improve QC workflows
• Cross-Functional Feedback Loop: Partner with data delivery teams to identify systemic quality issues, feed corrections back into contributor training, and prevent recurrence.
• Metrics & Reporting: Own quality metrics and KPIs, reporting on error rates, root causes, and improvement trends to company leadership.
• Operational Support: Contribute to company-wide initiatives across building, analysis, coordination, and execution as AfterQuery scales.

Required Qualifications

• 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

Preferred Qualifications

• 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

Company Benefits (For Eligible Employees)

• Health Insurance: Medical, Vision, Dental
• 401(k) with Employer Match
• Daily Meals: Daily UberEats Stipend
• Monthly Wellness Stipend

We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.