German Data Labeling Analyst – Onsite Role

Welocalize, Inc.; Seattle (WA); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account

401(k) Retirement Plan

Paid Vacation

Paid Holidays

Sick Leave

Employee Assistance Program

Free meals on site

Job summary

Welo Data in the United States is seeking German-speaking Data Labeling Analysts to support speech and voice AI systems. This is a hands-on production role focused on building high-quality datasets through meticulous labeling and feedback.

You will evaluate model outputs, perform audits, and collaborate with cross-functional teams to improve evaluation frameworks. Onsite only in multiple cities; requires commuting or relocation.

Qualifications

• Native-level fluency in German.
• Strong written communication skills and language fundamentals.
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.

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.
• Document findings in a clear, concise, and actionable way.

Skills

German fluency

Strong writing skills

Attention to detail

Structured work style

Education

Bachelor's degree or equivalent in a related field

1 year of data labeling or related experience

Job description

Welo Data in the United States is seeking German-speaking Data Labeling Analysts to support speech and voice AI systems. This is a hands-on production role focused on building high-quality datasets through meticulous labeling and feedback.

You will evaluate model outputs, perform audits, and collaborate with cross-functional teams to improve evaluation frameworks. Onsite only in multiple cities; requires commuting or relocation.