German Data Labeler

Welocalize•Seattle, WA

2d•Onsite

About The Position

Welo Data is hiring detail-oriented and reliable German-speaking Data Labeling Analysts to support speech and voice AI systems. This high-impact, production-focused role involves working with audio, speech, and language data to help build accurate, well-structured, and representative datasets for real-world AI systems. The work requires sound judgment, attention to detail, and consistency across repetitive workflows. The position is full-time, 40 hours per week, and is a W-2 employee role. It is 100% onsite, with hiring locations including the Bay Area, Seattle, and NYC, subject to client needs. Candidates must be located in or able to commute to NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, or Boston. Remote work is not available. Applicants must be authorized to work in the U.S.; visa sponsorship is not provided. Pay is $28 per hour.

Requirements

Native-level fluency in German.
Strong written communication skills and language fundamentals.
At least 1 year of work experience in data labeling, annotation, or content-focused work, or a bachelor's degree or equivalent academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently.
High attention to detail and ability to maintain accuracy in repetitive tasks.
Comfort working in structured, process-driven environments.
Ability to manage time effectively and maintain steady output.
Willingness to ask questions and escalate when needed.
Must be authorized to work in the U.S.; visa sponsorship is not available.
Must be located in or able to commute to one of the specified hiring locations; the role is fully onsite.

Nice To Haves

Basic familiarity with AI, speech technology, or language data.

Responsibilities

Evaluate AI model outputs and provide structured, high-quality feedback.
Conduct audit-based reviews of data and model behavior, identifying patterns, edge cases, and failure modes.
Apply guidelines thoughtfully and flag cases where they do not reflect real-world scenarios.
Contribute to improving evaluation frameworks.
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 clearly, concisely, and in an actionable manner.

Benefits

Paid vacation: 6 days.
Paid company holidays: 2 days (Memorial Day and Labor Day).
Paid sick leave accrued according to applicable state law and company policy.
Medical, dental, and vision insurance, subject to eligibility.
Health Savings Account (HSA).
401(k) retirement plan.
Employee Assistance Program.
Additional voluntary benefits, including life, accident, and critical illness coverage.
Where applicable, free breakfast, lunch, and dinner.
Where applicable, stocked micro-kitchens with snacks and beverages.
Commuter benefits, including shuttles and bike-to-work options.
Unique campus features depending on location.