Arabic Data Labeling Analyst (Onsite)

Welocalize, Inc.; Washington (District of Columbia); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid vacation

Health insurance

401(k)

Onsite meals and campus perks

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on producing high-quality, well-structured language data for model training, with strong emphasis on accuracy and consistency across repetitive tasks.

You will work across cities like NYC, Seattle, and Bay Area campuses to ensure datasets meet real-world needs. The role requires native Arabic, sharp attention to detail, and at least 1 year in data labeling or an

Qualifications

• Native-level fluency in Arabic.
• Strong written communication and language fundamentals.
• 1 year of work experience in data labeling or related field; or a Bachelor's degree.

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

Arabic (native language)

Attention to detail

Strong written communication

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on producing high-quality, well-structured language data for model training, with strong emphasis on accuracy and consistency across repetitive tasks.

You will work across cities like NYC, Seattle, and Bay Area campuses to ensure datasets meet real-world needs. The role requires native Arabic, sharp attention to detail, and at least 1 year in data labeling or an