Welo Data
Technology
ProjectPerseus|Speech&VoiceAIAnalyst-ArabicSpeakers
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Project Perseus | Speech & Voice AI Analyst - Arabic Speakers at Welo Data. Execute high-volume data labeling. Execute annotation tasks across speech and voice datasets”
Industry & Context.
Must be authorized to work in the U.S, Must complete live video verification
What They're Looking For.
Must Have
Native-level fluency in Arabic, 1 year of work experience in data labeling, Bachelor's degree or equivalent academic qualification, Ability to follow detailed instructions, High attention to detail, Ability to maintain accuracy in repetitive tasks, Comfort working in structured, process-driven environments, Ability to manage time effectively, Maintain steady output, Willingness to ask questions, Willingness to escalate when needed
Nice to Have
Basic familiarity with AI, Basic familiarity with speech technology, Basic familiarity with language data
What You'll Do.
Execute high-volume data labeling
Execute annotation tasks across speech and voice datasets
Follow detailed guidelines
Ensure consistency at scale
Ensure accuracy at scale
Ensure data integrity at scale
Work with language data
Meet quality expectations
Escalate unclear cases
Escalate ambiguous cases
Adapt to evolving guidelines
Adapt to evolving workflows
Support baseline data production needs
Contribute to team calibrations
Contribute to quality alignment sessions
Full Job Description
## 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: Data Labeling Analyst 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: $26 - $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, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. ## What You’ll Do 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 f
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