Welocalize

Quality Analyst, Gen AI Data Quality

Welocalize  •  Republic of India (Remote)  •  1 day ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

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:

Welocalize

About Welocalize

For over 25 years, Welocalize has helped some of the world's largest organizations improve customer engagement through the power of localized content. Since our founding in 1997, we've been a leader in applying innovative technology and adopting AI to deliver the highest quality translations quickly, efficiently, and at scale. Our proven track record showcases tangible business outcomes, including higher marketing conversion rates, regulatory compliance, increased customer satisfaction and retention, intellectual property protection, higher adoption rates, and improved data with enhanced models.

At the heart of our innovation is OPAL, our advanced Service Delivery Platform, ensuring every translation is fast, effortless, and impeccably accurate. This technology, combined with our extensive network of over 250,000 linguistic experts in more than 250 languages, allows us to deliver multilingual content transformation services that are unmatched in quality and relevance.

Our global team of industry specialists is dedicated to enabling your teams to achieve global business outcomes. From translation and localization to NLP-enabled machine learning training data, and data annotation, we blend cutting-edge technology with human insight across every project.

Industry
Marketing & Advertising
Company Size
5,001-10,000 employees
Headquarters
New York, NY
Year Founded
Unknown
Social Media