German Data Labeling 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

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.

You’ll 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 ofdata quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re 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 You’ll 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 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

What We’re Looking For

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