German Data Labeler Onsite for Speech & AI Training

Welocalize, Inc.; California; On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid vacation 6 days

Paid holidays 2 days

Sick leave

Health insurance

HSA

401(k)

Employee assistance program

Voluntary benefits

Job summary

Welo Data in the San Francisco Bay Area is seeking German-speaking Data Labeling Analysts for hands-on work supporting speech and voice AI systems.

This 40-hour-per-week, onsite role emphasizes accuracy, consistency, and detailed feedback on AI outputs. You will audit data, follow strict guidelines, and collaborate with cross-functional teams to improve evaluation processes.

Candidates must be located in or able to commute to multiple sites in the Bay Area or other listed cities.

Qualifications

• Native-level German fluency required.
• 1 year of data labeling experience or a related degree.
• Ability to follow detailed guidelines and maintain accuracy in repetitive tasks.
• Strong attention to detail and process discipline.

Responsibilities

• Evaluate AI model outputs and provide structured feedback.
• Audit data and model behavior to identify patterns and edge cases.
• Apply guidelines consistently and flag discrepancies.
• Help improve evaluation frameworks beyond basic execution.
• Identify trends in model performance and communicate insights.
• Participate in team calibrations and cross-functional syncs.
• Document findings clearly for stakeholders.
• Collaborate with leads to refine quality standards.

Skills

German fluency

Attention to detail

Data labeling experience

Written communication

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data in the San Francisco Bay Area is seeking German-speaking Data Labeling Analysts for hands-on work supporting speech and voice AI systems.

This 40-hour-per-week, onsite role emphasizes accuracy, consistency, and detailed feedback on AI outputs. You will audit data, follow strict guidelines, and collaborate with cross-functional teams to improve evaluation processes.

Candidates must be located in or able to commute to multiple sites in the Bay Area or other listed cities.