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r sql python machine learning multilingual📋 Description
- Set global quality strategy across annotation, evaluation, red-teaming, multilingual data.
- Define and enforce quality standards, acceptance criteria, and playbooks.
- Own quality measurement system, including sampling, metrics, drift detection.
- Lead a globally distributed quality org and asynchronous rhythms across regions.
- Embed quality from kickoff through delivery, including audits and root-cause analysis.
- Partner with Product, Engineering, and Operations to embed quality into tooling and automation.
🎯 Requirements
- 8–12+ years in quality/data ops/trust & safety or ML evaluation; 3+ years leading teams.
- Proven experience running quality programs across globally distributed teams.
- Strong statistical intuition on sampling, agreement, bias/variance.
- SQL and dashboards; Python or R for analysis/automation.
- Deep understanding of human-in-the-loop systems and data quality impact.
- Clear, confident communication with engineers and executives.
🎁 Benefits
- Competitive salary, equity, and benefits.
- Remote working within a mission-driven culture.
- Salary ranges shared during the hiring process.
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