German Data Labeling Associate

Overview

Welo Data is looking for sharp curious and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

Youll be working directly with cutting-edge AI systems evaluating outputs identifying gaps and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality model evaluation and human judgment where your ability to think critically matters just as much as following guidelines.

Were looking for people who are naturally curious about AI comfortable forming opinions and confident in contributing to conversations with teammates leads and stakeholders.

Project Details

• Job Title: Project Perseus Data Labeling Associate German Speakers (Human-in-the-Loop AI)
• Hiring in: NYC Seattle Bellevue Redmond San Francisco Sunnyvale Burlingame Los Angeles Washington DC Boston
• 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: $34/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: New York City Seattle Bellevue Redmond San Francisco Sunnyvale Burlingame Los Angeles Washington DC Boston. Please only apply if you meet this location requirement.

What Youll Do

• Evaluate AI model outputs and provide structured high-quality feedback
• Perform audit-based reviews of data and model behavior identifying patterns edge cases and failure modes
• Apply guidelines thoughtfully and flag when they dont reflect real-world scenarios
• Contribute to improving evaluation frameworks not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions calibrations and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear concise and actionable way

What Were Looking For

• Native-level proficiency in German and a university degree (Bachelors or higher).
• B2 or superior level of English.
• 12 years of professional writing experience with strong structured writing skills
• Ability to apply complex writing rules and guidelines consistently
• Strong understanding of safety considerations in GenAI data delivery with 2 years of relevant experience
• Strong critical thinking and attention to detail
• Ability to make sound judgment calls in ambiguous situations
• Naturally curious about AI technology and how systems behave
• Comfortable speaking up asking questions and contributing ideas
• Strong written and verbal communication skills
• Ability to stay consistent while working with evolving guidelines
• Experience in data quality QA annotation or analysis is helpful but not required

Benefits

• Paid Vacation: 6 days
• Paid Company Holidays: 2 days (Memorial Day and Labor Day)
• Paid Sick Leave: accrued per applicable state law and company policy
• Medical Dental and Vision Insurance (eligibility applies)
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Employee Assistance Program
• Additional voluntary benefits (life accident critical illness etc.)
• Free Gourmet Food: Free breakfast lunch and dinner are provided featuring a wide variety of cuisines in multiple cafes.
• Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages including premium coffee and La Croix.
• Unique Campus Features: Some locations include roof-top nature parks
• Commuter Benefits: Free transport shuttles and sometimes bike-to-work perks.