Full-Time

Data Labeling Associate

Data Labeling Associate, Human-in-the-Loop AI

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; must be located in or able to commute to one of the specified cities.

Category
Data & Analytics (1)
Required Skills
Machine Learning

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Requirements
  • Native-level English speaker from an EU10 country, the UK, Canada, or Australia and a university degree (Bachelor’s or higher)
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
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 don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • 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 in a clear, concise, and actionable way

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

  • Opal launched July 2026 enables faster enterprise localization at scale via agentic AI auto-editing.
  • Welo Data hiring for Business Development Director signals targeted expansion in AI training data and model evaluation.
  • Welo Life Sciences provides inspection-ready multilingual content for clinical trials leveraging AI and medical expertise.

What critics are saying

  • Welo Data faces 40–60% revenue erosion from Scale AI and Airplane reducing task availability in 6–12 months.
  • Park IP faces 30–50% automation displacement from LexisNexis and Ironclad AI tools in 12–18 months.
  • Welo Life Sciences faces 25–40% existential risk from FDA's Q1 2027 AI-driven regulatory framework mandating 90% automation.

What makes Welo Global unique

  • Five specialized brands target distinct client segments with fit-for-purpose AI and content solutions.
  • Opal platform delivers agentic AI blending machine translation and LLMs for auto-editing multilingual content.
  • Global network of 500,000 domain experts supports delivery across 300+ languages for 2,000+ blue-chip clients.

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Benefits

Remote Work Options

Flexible Work Hours