About The Position

Welo Data is hiring a Data Labeling Analyst to support speech and voice AI systems by producing accurate, well-structured datasets for AI training. This execution-focused production role involves working with audio, speech, and language data in structured, repetitive workflows. It requires sound judgment, attention to detail, consistency, and dependable output. The position is full-time, 40 hours per week, and is a W-2 employee role. It is 100% onsite; remote work is not available. Candidates must be located in or able to commute to an eligible city: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, or Boston. Applicants must be authorized to work in the United States; visa sponsorship is not available. The pay rate is $28 per hour. This role contributes to the data production that helps speech and voice models understand and interact with real users. It offers exposure to large-scale AI systems and foundational experience in data, language, and AI workflows.

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 United States; visa sponsorship is not available.
  • Must be located in or able to commute to one of the listed eligible cities.

Nice To Haves

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

Responsibilities

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets.
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale.
  • Work with audio and language data, including transcription, categorization, and tagging.
  • Maintain strong throughput while meeting quality expectations.
  • Escalate unclear or ambiguous cases appropriately.
  • Adapt to evolving guidelines and workflows as systems and requirements change.
  • Support baseline data production needs for AI training pipelines.
  • Contribute to team calibrations and quality alignment sessions.

Benefits

  • Paid vacation: 6 days.
  • Paid company holidays: 2 days (Memorial Day and Labor Day).
  • Paid sick leave accrued according to applicable state law and company policy.
  • Medical, dental, and vision insurance, subject to eligibility.
  • Health Savings Account (HSA).
  • 401(k) retirement plan.
  • Employee Assistance Program.
  • Additional voluntary benefits, including life, accident, and critical illness coverage.
  • Where applicable, onsite perks include free breakfast, lunch, and dinner.
  • Stocked micro-kitchens with snacks and beverages.
  • Commuter benefits, including shuttles and bike-to-work options.
  • Unique campus features depending on location.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service