Drimva

Welo Global

Project Perseus | Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

California +11 · On-site · Full-time · Posted Apr 22, 2026

Location
California
Sunnyvale, CA
San Francisco, CA
Seattle, WA
Redmond, Washington
Burlingame, CA
New York City Metropolitan Area
Austin, TX
Los Angeles, CA
Washington, D.C.
Chicago, IL
Boston, MA
Experience
2–4 years in data annotation, content quality, QA, or related fields.
Education
University degree (Bachelor’s or higher).
Visa sponsorship
Must be authorized to work in the U.S.; no visa sponsorship.

About the job

Audits and improves the quality of data-labeling work, supports and trains annotators, and helps teams apply guidelines consistently in human-and-AI workflows.

What you'll do

  • Audit annotator outputs, provide actionable feedback, and help interpret guidelines.
  • Support onboarding and training; monitor workflows and escalate blockers or quality risks.
  • Identify patterns in human and model outputs and contribute to improving guidelines and processes.

What they ask for

  • Native-level German proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior English.
  • 2–4 years of experience in data annotation, content quality, QA, or related fields.
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, and prior experience auditing or reviewing others’ work.

Nice to have

  • Familiarity with safety, compliance, or policy-driven content evaluation.

Pay

$38/hour (pay rate; currency not stated); USD 32–32 (per-hour-wage)

Tools

AI/ML

AI focus

Audits human and model outputs and supports data-quality work in AI/ML and human-in-the-loop evaluation workflows.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)