German Data Labeler for AI Training Data (Onsite)

Welocalize, Inc.; Washington (District of Columbia); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Free breakfast

Free lunch

Free dinner

Commuter benefits

Shuttle service

Bike-to-work

Micro-kitchens

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role, based in the United States, requires German native fluency, strong written communication, and careful attention to detail while handling structured audio-language data.

The position offers full-time hours and a paid, stable environment. You will evaluate AI model outputs, perform audits, and help refine evaluation frameworks, contributing to high-quality datasets used to

Qualifications

• Native-level fluency in German as a must.
• Excellent written communication and language fundamentals.
• 1 year of work experience in data labeling, annotation, or content-focused work, or a related degree.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior to identify 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.
• Collaborate with leads and cross-functional teams to refine quality standards.

Skills

German language (native)

Attention to detail

Strong written communication

Data labeling experience

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role, based in the United States, requires German native fluency, strong written communication, and careful attention to detail while handling structured audio-language data.

The position offers full-time hours and a paid, stable environment. You will evaluate AI model outputs, perform audits, and help refine evaluation frameworks, contributing to high-quality datasets used to