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Welo Global

Multilingual AI-enabled technology and content provider

Data Quality Analyst - Human-in-the-Loop AI

Data ManagementConfirmed live in the last 24 hours
Full-time$38 /hrIn-person

About the Job

Requirements

  • Native-level Italian language proficiency and a university degree (Bachelor’s or higher) are required.
  • B2 or superior level of English is required.
  • Two to four years of experience in data annotation, content quality, quality assurance, or related fields is required.
  • Ability to interpret and apply complex guidelines consistently is required.
  • Ability to maintain consistency while working with evolving guidelines and priorities is required.
  • Experience in artificial intelligence and machine-learning data workflows or human-in-the-loop evaluation environments is required.
  • Prior experience auditing or reviewing the work of others is required.
  • Familiarity with safety, compliance, or policy-driven content evaluation is required.
  • Candidates must be authorized to work in the United States; visa sponsorship is not available.
  • Candidates must work onsite and be located in or able to commute to an eligible listed city.

Responsibilities

  • Support quality and execution across Data Labeling Associate teams, ensuring work meets defined standards at scale.
  • Audit Data Labeling Associate outputs and provide structured, actionable feedback to improve accuracy and consistency.
  • Serve as the first line of support for Data Labeling Associates by answering questions and helping interpret guidelines.
  • Help Data Labeling Associates navigate ambiguity and apply evolving instructions effectively.
  • Support onboarding and training of new Data Labeling Associates through hands-on guidance and coaching.
  • Monitor workflows, queues, and blockers, escalating risks and gaps to Team Leads.
  • Identify patterns, recurring issues, and edge cases in both human and model outputs.
  • Participate in calibrations, team discussions, and stakeholder syncs.
  • Contribute to improving guidelines, processes, and overall team performance.
  • Document findings and feedback clearly, concisely, and actionably.

About the Company

Welo Global

Multilingual AI-enabled technology and content provider

Welo Global coordinates five specialized brands to deliver multilingual AI, technology, and content solutions for blue-chip clients across 300+ languages. Welocalize handles AI-enabled localization for technology teams; Welo Data supplies multilingual AI training data and model evaluation; Park IP offers patent translation and IP workflows; Welo Life Sciences creates multilingual content for pharma and medical devices; Adapt focuses on global SEO and marketing translation. Proprietary platforms—Opal for content localization, NIMO for AI supply-chain security, Legal Studio for IP workflows, and Adapt Studio for marketing translation—support these services. The company aims to help clients scale global AI and content initiatives through high-quality multilingual data, precise localization, and technology-enabled services.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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