Project Perseus | Data Labeling Associate - Italian Speakers (Human-in-the-Loop AI)
Burlingame, CAAll locationsBurlingame, CACaliforniaSunnyvale, CASan Francisco, CASeattle, WARedmond, WashingtonNew York City Metropolitan AreaAustin, TXLos Angeles, CAWashington, D.C.Chicago, ILBoston, MANew York, NY On-site
$70,720 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment , where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Important : This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What you'll bring
- Native-level language proficiency and a university degree (Bachelor’s or higher).
- B2 or superior level of English.
- 1–2 years of professional writing experience with strong, structured writing skills
- Ability to apply complex writing rules and guidelines consistently
- Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
- Strong critical thinking and attention to detail
- Ability to make sound judgment calls in ambiguous situations
- Naturally curious about AI, technology, and how systems behave
- Comfortable speaking up, asking questions, and contributing ideas
- Strong written and verbal communication skills
- Ability to stay consistent while working with evolving guidelines
- Experience in data quality, QA, annotation, or analysis is helpful — but not required