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

Welo Data

New York (NY)

On-site

USD 43,187 - 61,509

Full time

14 days+

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Benefits offered by this job

Paid Sick Time & Paid Holiday
Medical, Dental, and Vision Insurance
401(k) Retirement Plan
Free Gourmet Food
Commuter Benefits

Job summary

Welo Data is seeking a Data Quality Analyst in New York, New York. This full-time position involves auditing outputs, providing feedback, and supporting guideline application in data workflows. Candidates should possess a university degree and 2–4 years of relevant experience, along with a keen attention to detail and strong English proficiency. Benefits include paid sick time, medical insurance, 401(k), and free gourmet meals on-site, enhancing the working environment.

Qualifications

  • 2–4 years of experience in data annotation, content quality, QA, or related fields.
  • Strong ability to interpret and apply complex guidelines with consistency.
  • Prior experience auditing or reviewing the work of others.

Responsibilities

  • Support quality and execution across DLA teams.
  • Audit DLA outputs and provide structured feedback.
  • Act as the first line of support for DLAs.

Skills

Native-level English proficiency
Experience in data annotation
Attention to detail
Ability to interpret guidelines
Experience in AI/ML data workflows

Education

University degree (Bachelor’s or higher)

Job description

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.

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
  • 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 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 English (UK, CA, AU) proficiency and a university degree (Bachelor’s or higher).
  • 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 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.
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