Quality Analyst, Gen AI Data Quality

Welocalize, Inc

Gurugram District

On-site

INR 900,000 - 1,500,000

Full time

14 days+
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Job summary

Welocalize, Inc is a leading technology-enabled provider of translation, localization, and AI-driven content solutions. The role leads client QA programs, training, and cross-functional collaboration to ensure high-quality outcomes across multiple projects.

You will oversee QA metrics, root-cause analysis, and escalation management, while driving process improvements and compliant data handling in a remote- or distributed-work setup. Strong English and AI tooling familiarity are essential.

Qualifications

  • Bachelor’s degree or equivalent 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).
  • Near-native English with strong writing and editorial skills.
  • Hands-on with generative AI tools (text/voice/video).
  • Familiarity with data-annotation platforms and model-evaluation tools.

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.

Skills

Multi-project planning
Stakeholder management
Client communications
Governance cadence
Spreadsheets
PM / task boards
Basic BI
ETL familiarity
Vendor capacity planning
Global / distributed teams
English writing

Education

Bachelor’s degree

Tools

Annotation platforms
Model evaluation tools
Generative AI tools

Job description

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.
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

Welocalize is a leading technology‑enabled provider of translation, localization, and AI‑driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI‑enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.

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