Onsite German Data Labeling & AI Quality Associate

Welo Data; Boston (MA); On-site; USD 93,677,000 - 103,320,000; Full time

Benefits offered by this job

Paid Vacation

Paid Company Holidays

Paid Sick Leave

Medical, Dental, Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Life insurance

Job summary

Welo Data in Boston is hiring a Data Labeling Associate to work onsite, evaluating AI outputs and providing structured feedback in German. You’ll review model results, identify gaps, and help improve real-world performance while collaborating with teammates and stakeholders.

The role emphasizes data quality, model evaluation, and human judgment. Requirements include native German, strong English, 1–2 years of writing experience, and a relevant university degree.

Qualifications

• Native-level proficiency in German.
• English proficiency at B2 or higher.
• 1–2 years of professional writing experience with structured writing skills.
• Ability to apply complex writing rules and guidelines.
• Strong understanding of safety considerations in GenAI data delivery.
• Strong critical thinking and attention to detail.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior, identifying patterns and edge cases.
• 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 proficiency

English proficiency (B2+)

Academic writing

Critical thinking

Attention to detail

Judgment in ambiguity

Curiosity about AI

Team collaboration

Education

Bachelor’s degree

Job description

Welo Data in Boston is hiring a Data Labeling Associate to work onsite, evaluating AI outputs and providing structured feedback in German. You’ll review model results, identify gaps, and help improve real-world performance while collaborating with teammates and stakeholders.

The role emphasizes data quality, model evaluation, and human judgment. Requirements include native German, strong English, 1–2 years of writing experience, and a relevant university degree.