Project Perseus | Data Quality Analyst - Multilingual (English + Additional Languages) - (Human-in-the-Loop AI)
Chicago, ILAll locationsChicago, ILCaliforniaSunnyvale, CASan Francisco, CASeattle, WARedmond, WashingtonBurlingame, CANew York City Metropolitan AreaAustin, TXLos Angeles, CAWashington, D.C.Boston, MA On-site
$79,040 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
What you'll bring
- Language Requirements: Fluency in English plus two or more additional languages:
- Primary Language (Must have at least one): French, Italian, Spanish, or German.
- Secondary Language (Must have at least one): French, Italian, Spanish, German, Hindi, Portuguese, Russian, Polish, Turkish, or Vietnamese.
- University degree (Bachelor’s or higher)
- 2–4 years of experience in data annotation, content quality, QA, or related fields
- Strong ability to interpret and apply complex guidelines with consistency
- Excellent attention to detail with a high bar for quality
- Ability to stay consistent while working with evolving guidelines and priorities
- Experience in AI/ML data workflows or human-in-the-loop evaluation environments
- Prior experience auditing or reviewing the work of others
- Familiarity with safety, compliance, or policy-driven content evaluation