Onsite Arabic Data Labeler for Speech AI

Welocalize, Inc.; Boston (MA); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid vacation

Holidays

Sick leave

Medical insurance

Dental insurance

Vision insurance

Health Savings Account

401(k) retirement plan

Employee assistance program

Voluntary benefits

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems in an on-site capacity across multiple U.S. cities.

This production role focuses on building accurate, well-structured datasets from audio and language data. You will evaluate model outputs, perform audits, apply guidelines, and help improve evaluation frameworks, with an emphasis on consistency and clear communication.

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 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.

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 — 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.

Skills

Native-level Arabic

Strong written communication

Attention to detail

Follow detailed instructions

Structured/process-driven

Education

Bachelor's degree or equivalent in related field

1 year of data labeling experience

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems in an on-site capacity across multiple U.S. cities.

This production role focuses on building accurate, well-structured datasets from audio and language data. You will evaluate model outputs, perform audits, apply guidelines, and help improve evaluation frameworks, with an emphasis on consistency and clear communication.