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

Data Quality AnalystWelo 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.Project DetailsJob Title: Data Quality AnalystHiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, BostonHours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $38/hourContract Duration: 1-year contract with possibility of extensionImportant: 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.What You'll DoSupport quality and execution across DLA teams, ensuring work meets defined standards at scaleAudit DLA outputs and provide structured, actionable feedback to improve accuracy and consistencyAct as the first line of support for DLAs — answering questions and helping interpret guidelinesHelp DLAs navigate ambiguity and apply evolving instructions effectivelySupport onboarding and training of new DLAs through hands-on guidance and coachingMonitor workflows, queues, and blockers — escalating risks and gaps to Team LeadsIdentify patterns, recurring issues, and edge cases in both human and model outputsParticipate in calibrations, team discussions, and stakeholder syncsContribute to improving guidelines, processes, and overall team performanceDocument findings and feedback in a clear, concise, and actionable wayWhat We're Looking ForNative-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 fieldsStrong ability to interpret and apply complex guidelines with consistencyExcellent attention to detail with a high bar for qualityAbility to stay consistent while working with evolving guidelines and prioritiesExperience in AI/ML data workflows or human-in-the-loop evaluation environmentsPrior experience auditing or reviewing the work of othersFamiliarity with safety, compliance, or policy-driven content evaluationBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional voluntary benefits (life, accident, critical illness, etc.)Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.Unique Campus Features: Some locations include roof-top nature parksCommuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.$38 - $38 an hour Why This Role 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.