Onsite German Data Labeling & AI QA Associate

Welo Data; Washington; On-site; USD 70,000 - 75,000; Full time

Benefits offered by this job

Paid vacation

Paid company holidays

Medical, dental, vision insurance

401(k) retirement plan

Health savings account

Job summary

Welo Data is seeking a Data Labeling Associate specialized in German for an onsite, full-time role across multiple U.S. cities.

You will evaluate outputs from cutting-edge AI systems, provide structured feedback, and help improve real-world behavior of models while adhering to strict guidelines. The role emphasizes data quality, model evaluation, and human judgment, requiring curiosity about AI, strong writing skills, and the ability to communicate insights within cross-functional teams.

Qualifications

• Native-level proficiency in German and a university degree.
• B2 or superior level of English.
• 1–2 years of professional writing experience with strong, structured writing skills.
• Ability to apply complex writing rules and guidelines consistently.
• 2+ years of relevant safety considerations in GenAI data delivery.

Responsibilities

• 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 don’t 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.

Skills

German language

English proficiency

Writing skills

Attention to detail

Critical thinking

Education

Bachelor's degree

Job description

Welo Data is seeking a Data Labeling Associate specialized in German for an onsite, full-time role across multiple U.S. cities.

You will evaluate outputs from cutting-edge AI systems, provide structured feedback, and help improve real-world behavior of models while adhering to strict guidelines. The role emphasizes data quality, model evaluation, and human judgment, requiring curiosity about AI, strong writing skills, and the ability to communicate insights within cross-functional teams.