Speech & Voice AI Analyst

Welocalize

New York City Metropolitan AreaFresher1h agovia LinkedIn

About the Role

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. This role requires strong judgment, attention to detail, and consistency.

Project Details

  • Job Title: Speech & Voice AI Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • 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: $28/hour
  • Important: This is a 100% onsite position. Candidates must be located in or able to commute to NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, or Boston.

Key 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.
  • Support baseline data production needs for AI training pipelines.
  • Contribute to team calibrations and quality alignment sessions.

Requirements & Tech Stack

  • Native-level fluency in Portuguese (Brazil).
  • Strong written communication skills and language fundamentals.
  • 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.
  • Basic familiarity with AI, speech technology, or language data is a plus.

Qualifications

  • 1 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.

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave
  • 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.)

Onsite Perks (where applicable)

  • 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

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