Project Perseus | Data Quality Analyst - Arabic Speakers (Human-in-the-Loop AI)
Boston, MAAll locationsBoston, MACaliforniaSunnyvale, CASan Francisco, CASeattle, WARedmond, WashingtonBurlingame, CANew York City Metropolitan AreaAustin, TXLos Angeles, CAChicago, ILWashington, D.C. On-site
$79,040 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. 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
- Native-level language proficiency and a university degree (Bachelor’s or higher).
- B2 or superior level of English.
- 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