Project Perseus | Data Quality Analyst - Hindi Speakers (Human-in-the-Loop AI)
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.
Project Details
- Job Title: Data Quality Analyst
- Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
- 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
- Contract Duration: 1-year contract with possibility of extension
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
- 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
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.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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 were you born? choose one · optional
- 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