Onsite Data Quality Analyst: QA & Training for AI Data

Welo Global; Burlingame (CA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Paid Vacation

401(k) Retirement Plan

Free meals on site

Job summary

Welocalize is seeking a Data Quality Analyst to join a 100% onsite team based in the United States. You will bridge Data Labeling Associates and Team Leads to maintain high quality standards across large-scale outputs.

You will audit results, provide actionable feedback, and guide DLAs through evolving instructions while supporting onboarding and training. The role emphasizes detail orientation and critical thinking in fast-moving AI data workflows.

Qualifications

• Native-level language proficiency in English.
• Bachelor's degree or higher required.
• 2-4 years of experience in data annotation, content quality, QA, or related fields.

Responsibilities

• Support quality and execution across DLA teams, ensuring work meets defined standards at scale.
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency.
• Act as the first line of support for DLAs - answering questions and helping interpret guidelines.
• Help DLAs navigate ambiguity and apply evolving instructions effectively.
• Support onboarding and training of new DLAs through hands-on guidance and coaching.
• Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads.
• Identify patterns, recurring issues, and edge cases in both human and model outputs.
• Participate in calibrations, team discussions, and stakeholder syncs.
• Contribute to improving guidelines, processes, and overall team performance.
• Document findings and feedback in a clear, concise, and actionable way.

Skills

Native English

Bachelor's degree

2-4 years dataQA/data annotation

Education

Bachelor's degree or higher

Job description

Welocalize is seeking a Data Quality Analyst to join a 100% onsite team based in the United States. You will bridge Data Labeling Associates and Team Leads to maintain high quality standards across large-scale outputs.

You will audit results, provide actionable feedback, and guide DLAs through evolving instructions while supporting onboarding and training. The role emphasizes detail orientation and critical thinking in fast-moving AI data workflows.