# Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI) **Company**: Welocalize **Location**: California **Work arrangement**: onsite **Experience**: mid **Job type**: full-time **Salary**: USD 38-38 per-hour-wage **Category**: Data Science **Industry**: Technology **Apply**: https://jobs.lever.co/weloglobal/da083979-a895-4b30-b3d6-1eabc3912c02?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_902467ed-243 ## Description Welocalize is seeking 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 Details** - Job Title: Data Quality Analyst - Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) - Hours: Full-time, 40 hours per week - Employment Type: W2 Full-Time Employee - Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) - Pay Rate: $38/hour **What You'll Do** - Support quality and execution across DLA teams, ensuring work meets defined standards at scale. - Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency. - Act as the first line of support for DLAs , answering questions and helping interpret guidelines. - Help DLAs navigate ambiguity and apply evolving instructions effectively. - Support onboarding and training of new DLAs through hands-on guidance and coaching. - Monitor workflows, queues, and blockers , escalating risks and gaps to Team Leads. - Identify patterns, recurring issues, and edge cases in both human and model outputs. - Participate in calibrations, team discussions, and stakeholder syncs. - Contribute to improving guidelines, processes, and overall team performance. - Document findings and feedback in a clear, concise, and actionable way. **What We're Looking For** - Native-level Spanish 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. **Benefits** - Paid Vacation: 6 days - Paid Company Holidays: 2 days (Memorial Day and Labor Day) - Paid Sick Leave: accrued per applicable state law and company policy - Medical, Dental, and Vision Insurance (eligibility applies) - Health Savings Account (HSA) - 401(k) Retirement Plan - Employee Assistance Program - Additional 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 parks. - Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. ## Skills ### Required - Spanish - data annotation - content quality - QA - AI/ML data workflows - human-in-the-loop evaluation environments - auditing - safety - compliance - policy-driven content evaluation --- Source: [Apply at jobs.lever.co](https://jobs.lever.co/weloglobal/da083979-a895-4b30-b3d6-1eabc3912c02?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)