English(UK/Canada/EU/Australia Dialect) Speakers| Onsite at Welo Data | New York, NY, US | Rezi

English(UK/Canada/EU/Australia Dialect) Speakers| Onsite at Welo Data

English(UK/Canada/EU/Australia Dialect) Speakers| Onsite

Welo Data · New York, NY, US

1 weeks ago

English(UK/Canada/EU/Australia Dialect) Speakers| Onsite

Welo Data · New York, NY, US

10 days ago
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About the Role

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.

Responsibilities

  • 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

Requirements

  • Native-level English speaker from an EU10 country, the UK, Canada, or Australia
  • 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
  • Must be authorized to work in the U.S. (no visa sponsorship)

Skills

  • Data annotation
  • Content quality
  • QA
  • AI/ML data workflows
  • Human-in-the-loop evaluation
  • Auditing
  • Reviewing work
  • Safety evaluation
  • Compliance evaluation
  • Policy-driven content evaluation

Location

  • NYC
  • Seattle
  • Bellevue
  • Redmond
  • San Francisco
  • Sunnyvale
  • Burlingame
  • Austin
  • Los Angeles
  • Washington DC
  • Chicago
  • Boston

Work Type

  • Full-time
  • 40 hours per week
  • W2 Full-Time Employee
  • 1-year contract with possibility of extension

Experience Level

  • 2-4 years of experience

Education Level

  • Bachelor's degree or higher

Salary/Compensations

  • $38/hour