Quality Analyst - Generative AI Data
🇲🇽 Mexico
Management
Machine Learning
Design
Analyst
Testing
Video
Quality Analyst - Generative AI Data
from 🇲🇽 Mexico
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Job Responsibilities:
Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager.Key ResponsibilitiesÂ
Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.Â
Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.Â
Plan training & certification for raters/annotators and coordinators; track completion and impact.Â
Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions.Â
Manage client escalations; present options, trade-offs, and recovery paths.Â
Standardize SOPs, templates, and checklists; remove bottlenecks.Â
Pilot smallautomations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins.Â
Coach P1s and C2–C3 on tools, workflows, and QA craft.Â
Ensure compliance/security across data handling and platform access.Â
Additional Job Details:
EducationÂ
Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.Â
ExperienceÂ
2+ years in quality/ops with hands-on QA and workforce/training coordination.Â
1+ years leading people/pods (formal or informal).Â
SkillsÂ
Multi-project planning and stakeholder management.Â
Clear client communications and governance cadence participation.Â
Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.Â
Capacity planning with vendors; confident escalation/negotiation.Â
Effective in global, distributed teams.Â
Additional Qualifications (P1+)Â
Near-native English with strong writing and editorial skills.Â
Hands-on with generative AI tools (text/voice/video).Â
Background in QA testing, rubric design, or AI safety/ethics evaluation.Â
Familiarity with data-annotation platforms and model-evaluation tools.Â
Ability to interpret code/datasets/workflows at a conceptual level (no codingrequired).Â
Works independently and manages workflows effectively in a remote setup.Â
Multilingual ability beyond English.Â
Scope & AutonomyÂ
Leads quality, training, and performance tracks across severalprojects; independent within guardrails.Â
Shared accountability for client results and team performance with Ops Manager.Â

