Data Quality Analyst English Speakers (UK, Canadian and or Australian variants)

Overview

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.

Youll 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
• Location: New York City (On-Site)
• 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: New York City Seattle Bellevue Redmond San Francisco Sunnyvale or Burlingame. Please only apply if you meet this location requirement.

What Youll 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 Were Looking For

• Native-level English (UK CA AU) proficiency and a university degree (Bachelors or higher).
• 24 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 Sick Time & Paid Holiday (combined): 15 days
• Paid Holidays: Memorial Day and Labor Day
• 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.