Related skills
r sql python📋 Description
- Set global quality strategy for annotation, feedback, eval, red-team, multilingual data.
- Define and enforce quality standards, acceptance criteria, and playbooks across projects.
- Own the quality measurement system: sampling, metrics, defect taxonomy, drift detection.
- Lead a globally distributed quality organization with async rhythms across regions.
- Ensure quality from kickoff through delivery: audits, remediation, root-cause analysis.
- Act as senior quality partner for customers; explain methodology, results, risks, and improvements.
🎯 Requirements
- 8–12+ yrs in quality, data ops, trust/safety, or ML eval; 3+ yrs leading teams.
- Proven experience running quality programs across globally distributed teams.
- Statistical intuition: sampling, agreement, bias/variance; quality data.
- SQL and dashboards; Python or R for analysis/automation.
- Deep understanding of human-in-the-loop systems and data quality impact on models.
- Strong judgement balancing speed, cost, quality; explicit trade-offs.
🎁 Benefits
- Competitive salary and benefits.
- Equity and potential cash variable elements.
- Remote working within our culture.
- Transparent salary ranges during hiring.
- Opportunities for career growth.
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