Welocalize

Quality Analyst, Gen AI Data Quality

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerWelocalize
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted13 Aug 2026

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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.

Show full description

·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.

Requirements

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

·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.

Additional Job Details:

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