English (UK) Data Labeler

Welocalize•Seattle, WA
•Onsite

About The Position

Welo Data is hiring detail-oriented and reliable Data Labeling Analysts to support speech and voice AI systems. This is a high-impact, production-focused role building datasets for real-world AI systems. The work involves audio, speech, and language data, with an emphasis on producing accurate, well-structured, and representative inputs. It requires sound judgment, attention to detail, consistency, and discipline across repetitive workflows. The position is 100% onsite in an eligible location; remote work is not available. Candidates must be located in or able to commute to NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, or Boston. The role is a W2 full-time employee position, scheduled for 40 hours per week, paying $28 per hour. Applicants must be authorized to work in the U.S.; visa sponsorship is not available.

Requirements

  • Native-level fluency in English (UK).
  • Strong written communication skills and language fundamentals.
  • One year of work experience in data labeling, annotation, or content-focused work, or a bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently.
  • High attention to detail and ability to maintain accuracy in repetitive tasks.
  • Comfort working in structured, process-driven environments.
  • Ability to manage time effectively and maintain steady output.
  • Willingness to ask questions and escalate when needed.
  • Must be authorized to work in the U.S.; visa sponsorship is not available.
  • Must be located in or able to commute to an eligible onsite location.

Nice To Haves

  • Basic familiarity with AI, speech technology, or language data.

Responsibilities

  • Evaluate AI model outputs and provide structured, high-quality feedback.
  • Perform audit-based reviews of data and model behavior, identifying patterns, edge cases, and failure modes.
  • Apply guidelines thoughtfully and flag when they do not reflect real-world scenarios.
  • Contribute to improving evaluation frameworks.
  • Identify trends in model performance and communicate insights clearly.
  • Participate in team discussions, calibrations, and stakeholder syncs.
  • Partner with leads and cross-functional teams to refine quality standards.
  • Document findings clearly, concisely, and actionably.

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, including life, accident, and critical illness coverage.
  • Where applicable, free breakfast, lunch, and dinner.
  • Where applicable, stocked micro-kitchens with snacks and beverages.
  • Where applicable, commuter benefits, including shuttles and bike-to-work options.
  • Unique campus features depending on location.
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