Arabic Data Labeler
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, 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.
This is a 100% onsite position — remote work is not available. Candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, or Boston.
About the role
Execute high-volume data labeling and annotation tasks across speech and voice datasets. Work with audio and language data, including transcription, categorization, and tagging. Maintain strong throughput while meeting quality expectations, escalate unclear or ambiguous cases, and adapt to evolving guidelines and workflows. Support baseline data production needs for AI training pipelines and contribute to team calibrations and quality alignment sessions.
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
Requirements
- 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 escalate when needed
- Basic familiarity with AI, speech technology, or language data is a plus
- Must be authorized to work in the U.S. (no visa sponsorship)
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
- 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
Pay
$26 - $28/hour
Schedule
Full-time, 40 hours per week