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Reach, Grow, and Engage Global Audiences with Multilingual Content
Quality Analyst, Gen AI Data Quality
Location
Asia
Posted
29 days ago
Salary
0
Seniority
Mid Level
Job Description
Quality Analyst, Gen AI Data Quality
Welocalize
• Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. • Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes. • Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks. • Plan training & certification for raters/annotators and coordinators; track completion and impact. • Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions. • Manage client escalations; present options, trade-offs, and recovery paths. • Standardize SOPs, templates, and checklists; remove bottlenecks. • Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins. • Coach P1s and C2–C3 on tools, workflows, and QA craft. • Ensure compliance/security across data handling and platform access.
Job Requirements
- Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.
- 2+ years in quality/ops with hands-on QA and workforce/training coordination.
- 1+ years leading people/pods (formal or informal).
- Multi-project planning and stakeholder management.
- Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
- Effective in global, distributed teams.
- Near-native English with strong writing and editorial skills.
- Hands-on with generative AI tools (text/voice/video).
- Background in QA testing, rubric design, or AI safety/ethics evaluation.
- Familiarity with data-annotation platforms and model-evaluation tools.
- Ability to interpret code/datasets/workflows at a conceptual level (no coding required).
Benefits
- Flexible work arrangements
- Professional development opportunities
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