Onsite Data Quality Analyst - AI Labeling QA

First Roles; Austin (TX); On-site; USD 108,000 - 132,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Paid Company Holidays: 2 days

Medical, Dental, Vision Insurance

Job summary

Welo Data is seeking a Data Quality Analyst (French speakers) in Austin, TX to bridge data labeling teams with AI systems. This role emphasizes data quality, light project coordination, and hands-on training to ensure outputs meet strict standards.

The candidate will audit outputs, provide feedback, and guide DLAs through evolving guidelines while working onsite with a cross-functional team on 40 hours per week. Remote work is not available.

Qualifications

• Native-level English proficiency and a university degree.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.
• Strong ability to interpret and apply complex guidelines with consistency.

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

English proficiency

Attention to detail

Quality focus

Education

Bachelor’s degree

Job description

Welo Data is seeking a Data Quality Analyst (French speakers) in Austin, TX to bridge data labeling teams with AI systems. This role emphasizes data quality, light project coordination, and hands-on training to ensure outputs meet strict standards.

The candidate will audit outputs, provide feedback, and guide DLAs through evolving guidelines while working onsite with a cross-functional team on 40 hours per week. Remote work is not available.