Arabic Data Labeler

Welocalize, Inc.

California

On-site

USD 32,000 - 45,000

Full time

2 days ago
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Benefits offered by this job

Paid vacation
Healthcare benefits
401(k) savings

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. The role focuses on building high-quality datasets with Arabic data, requiring strong judgment and consistent output in a highly structured environment.

You will evaluate model outputs, perform audits, and document findings to help improve evaluation frameworks. This is a 100% onsite position with locations in Bay Area, Seattle, NYC, or client sites; 40 hours weekly and full-time W2 employment.

Qualifications

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

Responsibilities

  • Evaluate AI model outputs and provide structured, high-quality feedback.
  • Perform audit-based reviews of data and model behavior; identify patterns, edge cases, and failure modes.
  • Apply guidelines thoughtfully and flag if they don’t reflect real-world scenarios.
  • Contribute to improving evaluation frameworks, not just execution.
  • Identify trends in model performance and communicate insights clearly.
  • Participate in team discussions and stakeholder syncs.
  • Collaborate with leads and cross-functional teams to refine quality standards.
  • Document findings clearly and concisely.

Skills

Arabic fluency
Strong writing
Attention to detail
Time management
Structured/process-driven

Education

Bachelor's degree or equivalent

Job description

Overview

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.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Project Perseus | Speech & Voice AI Analyst - ArabicSpeakers
  • 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 — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston.

What You'll Do
  • 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
What We're Looking For
  • 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 academic qualification in a related field.
  • 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 escape when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • 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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