Quality Analyst, Gen AI Data Quality

About the role

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here 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: Originally posted on Himalayas