Key ResponsibilitiesFinal 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
- Commute Covered
