Full-Time

Data Labeling Analyst

Multiple Teams

Welo Global

Welo Global

5,001-10,000 employees

Multilingual AI-enabled technology and content provider

Compensation Overview

$34/hr

No H1B Sponsorship

Boston, MA, USA + 11 more

More locations: Seattle, WA, USA | Burlingame, CA, USA | Washington, DC, USA | San Francisco, CA, USA | Austin, TX, USA | Los Angeles, CA, USA | Redmond, WA, USA | Chicago, IL, USA | New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

In Person

Onsite only; remote not available. Must be able to commute to listed US cities; US work authorization required.

Bachelor's

Category
Data & Analytics (1)

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Requirements
  • Native-level fluency in Portuguese (Portugal)
  • 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
  • Must be authorized to work in the United States (no visa sponsorship)
  • Onsite required and ability to commute to designated cities (NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston)
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
Desired Qualifications
  • Basic familiarity with AI, speech technology, or language data is a plus

Welo Global coordinates five brands to provide multilingual AI, technology, and content solutions for more than 2,000 blue-chip clients in 300+ languages. Its offerings are delivered through technology-enabled services and proprietary platforms such as Opal for content localization, NIMO for AI supply-chain security, Legal Studio for IP workflows, and Adapt Studio for marketing translation, with brand-specific teams like Welocalize, Welo Data, Park IP, Welo Life Sciences, and Adapt. The company differentiates itself through brand specialization under one parent, a long 25+ year history, and integrated platforms that pair language services with AI data, model evaluation, legal and life sciences workflows, and global marketing translation supported by a network of over 500,000 linguists. The goal is to help clients scale global AI and content initiatives by delivering high-quality multilingual data, accurate localization, and efficient, technology-enabled services.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify Jobs

Simplify's Take

What believers are saying

  • May 18, 2026 Welo Data launched a proprietary frontier AI data-production platform.
  • February 26, 2026 Blackbird integrated OPAL Enable, expanding enterprise localization distribution.
  • July 2026 newsroom activity shows sustained product, podcast, and award momentum.

What critics are saying

  • TELUS AI sued Welocalize in Delaware in June 2025 over non-compete disputes.
  • Welo Data depends on model builders; in-house AI teams commoditize suppliers by 2027.
  • If AI labs internalize multilingual data and localization, Welo Global loses pricing power.

What makes Welo Global unique

  • April 2026 rebrand created five client brands around specific buyer segments.
  • Opal and NIMO combine localization automation with training-data security and quality.
  • Welo Life Sciences launched April 7, 2026 for regulated pharma and medtech clients.

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Benefits

Remote Work Options

Flexible Work Hours