Project Perseus | Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

• Job Title: Data Quality Analyst

• Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)

• Hours: Full-time, 40 hours per week

• Employment Type: W2 Full-Time Employee

• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)

• Pay Rate: $38/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.

What You’ll Do

• 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

What We’re Looking For

• Native-level German language proficiency and a university degree (Bachelor’s or higher).

• B2 or superior level of English.

• 2–4 years of experience in data annotation, content quality, QA, or related fields

• Strong ability to interpret and apply complex guidelines with consistency

• Excellent attention to detail with a high bar for quality

• Ability to stay consistent while working with evolving guidelines and priorities

• Experience in AI/ML data workflows or human-in-the-loop evaluation environments

• Prior experience auditing or reviewing the work of others