German AI Data Labeler — Safety & Evaluation

Welo Data

New York (NY)

On-site

USD 38,641 - 55,035

Full time

14 days+
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Benefits offered by this job

Free breakfast, lunch, and dinner
Snack suites with premium coffee
Modern collaborative spaces
Comprehensive Medical, Dental, and Vision
401(k) and HSA eligibility
Commuter support

Job summary

Welo Data is seeking Data Labeling Associates for Project Perseus in New York City. This role is focused on enhancing generative AI systems through evaluation of German outputs and addressing AI safety challenges. Candidates should possess native-level German proficiency and relevant experience in AI safety, along with strong writing and critical thinking skills. The position offers gourmet dining benefits, modern workspaces, and comprehensive medical packages. This is a unique opportunity to significantly contribute to AI system evaluation and improvement.

Qualifications

  • 2+ years of experience in GenAI safety.
  • 1–2 years of experience in professional writing, journalism, or content creation.

Responsibilities

  • Critique German AI outputs for accuracy, fluency, and tone.
  • Identify bias, risks, and failure modes in Arabic datasets.
  • Apply complex linguistic guidelines thoughtfully.
  • Identify trends in model performance and communicate findings.
  • Participate in team syncs to ensure quality across AI workstreams.

Skills

Native-level German proficiency
B2 level English skills
Professional writing experience
AI safety expertise
Critical thinking
Technical agility

Education

University Degree (Bachelor's or higher)

Job description

Welo Data is seeking Data Labeling Associates for Project Perseus in New York City. This role is focused on enhancing generative AI systems through evaluation of German outputs and addressing AI safety challenges. Candidates should possess native-level German proficiency and relevant experience in AI safety, along with strong writing and critical thinking skills. The position offers gourmet dining benefits, modern workspaces, and comprehensive medical packages. This is a unique opportunity to significantly contribute to AI system evaluation and improvement.
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