Hiring.Camp

Quality Analyst - Generative AI Data

Welocalize is

·

3 days ago

Location
Mexico
Type
Full-time
Closing date
Today
Source
Workday

Description

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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 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 P1s and C2–C3 on tools, workflows, and QA craft. 

  • Ensure compliance/security across data handling and platform access. 

Additional Job Details:

Education 

  • Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering. 

Experience 

  • 2+ years in quality/ops with hands-on QA and workforce/training coordination. 

  • 1+ years leading people/pods (formal or informal). 

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 (P1+) 

  • 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 & Autonomy 

  • Leads quality, training, and performance tracks across several projects; independent within guardrails. 

  • Shared accountability for client results and team performance with Ops Manager. 

Skills

ETLWorkdayComplianceNegotiation

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Quality Analyst - Generative AI Data at Welocalize is | Hiring.Camp