Onsite Arabic Data Labeler for AI Speech Training

Welo Data; California; On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid vacation

Holidays

Sick leave

Health insurance

HSA

401(k)

Employee assistance program

Voluntary benefits

Job summary

Welo Data is seeking a Data Labeling Analyst to support speech and voice AI systems in a high-impact, on-site role. You will work with audio and language data to build high-quality, well-structured datasets, requiring precision, strong judgment, and consistent output.

The role emphasizes evaluation and feedback, auditing data and model behavior, and clear documentation. Candidates must have native Arabic fluency and either 1 year of experience in labeling/annotation or a related bachelor’s

Qualifications

• Native-level Arabic fluency is required.
• Excellent written communication skills and language fundamentals are needed.
• 1 year of work experience in data labeling/annotation or a related field, or a Bachelor’s degree in a related field.
• Ability to follow detailed instructions and stay consistent in repetitive tasks.

Responsibilities

• Evaluate AI model outputs and provide structured feedback.
• Conduct audit-based reviews to identify patterns, edge cases, and failure modes.
• Apply guidelines thoughtfully and flag real-world deviations.
• Contribute to improving evaluation frameworks beyond execution.
• Document findings clearly and concisely for stakeholders.

Skills

Arabic fluency

Attention to detail

Strong written communication

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking a Data Labeling Analyst to support speech and voice AI systems in a high-impact, on-site role. You will work with audio and language data to build high-quality, well-structured datasets, requiring precision, strong judgment, and consistent output.

The role emphasizes evaluation and feedback, auditing data and model behavior, and clear documentation. Candidates must have native Arabic fluency and either 1 year of experience in labeling/annotation or a related bachelor’s