Quality Analyst - Generative AI Data Quality
MexicoFull-TimeMid-levelAI / Data Science
Key Responsibilities
- 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 Coordinators on tools, workflows, and QA craft.
- Ensure compliance/security across data handling and platform access.
Skills
- Multi-project planning and stakeholder management.
- Clear client communications and governance cadence participation.
- Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
- Capacity planning with vendors; confident escalation/negotiation.
- Effective in global, distributed teams.
Additional Qualifications
- 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).
- Works independently and manages workflows effectively in a remote setup.
- Multilingual ability beyond English.
Scope and Autonomy
- Leads quality, training, and performance tracks across several projects; independent within guardrails.
- Shared accountability for client results and team performance with Ops Manager.
Education and Experience
- 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).
