Project Perseus | Data Quality Analyst - Multilingual (English + Additional Languages) - (Human-in-the-Loop AI)
Summary
Onsite Data Quality Analyst auditing multilingual AI data labeler outputs, providing structured feedback, and supporting onboarding across various US cities for a localization services company.
Project Details
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Job Title: Data Quality Analyst
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Hiring Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
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Hours: Full-time, 40 hours per week
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Employment Type: W2 Full-Time Employee
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Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
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Pay Rate: $38/hour
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Contract Duration: 1-year contract with possibility of extension
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Location Policy: 100% onsite position — remote work is not available. To be considered, candidates must be located in or able to commute to one of the target cities listed above.
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.
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
- 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): Portuguese, Russian, Polish, Turkish, or Vietnamese.
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University degree (Bachelor’s or higher)
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2–4 years of experience in data annotation, content quality, QA, or related fields
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Strong ability to interpret and apply complex guidelines with consistency
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Excellent attention to detail with a high bar for quality
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Ability to stay consistent while working with evolving guidelines and priorities
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Experience in AI/ML data workflows or human-in-the-loop evaluation environments
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Prior experience auditing or reviewing the work of others
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Familiarity with safety, compliance, or policy-driven content evaluation
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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.
As published by lever
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website
- Do you hold work authorization for the US? choose one · optional
- What type of work authorization do you have? written answer
- In what country do you currently live? choose one · optional
- How many years have you lived in your current country? (Please choose one) yes / no · optional
- Do you have native-level proficiency in U.S. English (written and verbal)? choose one
- Are you available to work full-time (40 hours/week)? choose one
- Describe your experience creating prompts and responses for AI/LLM systems. What types of tasks or domains have you worked on? written answer
- Have you contributed to data labeling or annotation projects? Please describe your role and scope. written answer
- What tools or platforms have you used for data annotation, QA, or LLM-related work? written answer
- Do you have a degree or equivalent experience in Linguistics, English Literature, Creative Writing, Journalism, or a related field? Please specify which one, or reply “No” if you don’t. written answer
- This position is 100% on-site with no possibility for remote work. Are you available to work on-site and able to commute to one of our offices in Washington/California/New York/Texas/District of Columbia/Illinois/Massachusetts? yes / no · optional
- Which one of these offices is closer to you? yes / no · optional