Arabic Data Labeler – Onsite AI Training Data Analyst

Welocalize, Inc.

California

On-site

USD 32,000 - 45,000

Full time

4 days ago
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Benefits offered by this job

Paid vacation
Company holidays
Sick leave
Health insurance (Medical/Dental/Vison
HSA
401(k)

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on building high-quality datasets with Arabic language content, requiring strong judgment and consistency.

Candidates must be located in or able to commute to one of the listed cities and be authorized to work in the U.S. Responsibilities include evaluating model outputs, auditing data, applying guidelines, and collaborating with cross-functional teams to maintain and

Qualifications

  • Native-level fluency in Arabic
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and accuracy in repetitive tasks
  • Structured, process-driven environment experience

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 — 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

Skills

Arabic fluency
Strong writing
Attention to detail
Time management

Education

Bachelor's degree or equivalent in related field

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on building high-quality datasets with Arabic language content, requiring strong judgment and consistency.

Candidates must be located in or able to commute to one of the listed cities and be authorized to work in the U.S. Responsibilities include evaluating model outputs, auditing data, applying guidelines, and collaborating with cross-functional teams to maintain and

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