Arabic Data Labeling Analyst - Onsite AI Quality Insights

Welo Data; Boston (MA); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Paid Company Holidays: 2 days

Paid Sick Leave: accrued per state law

Medical, Dental, and Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Additional voluntary benefits (life,事故

Additional voluntary benefits (life,事故

Job summary

Welo Data is looking for detail-oriented Data Labeling Analysts to support speech and voice AI systems in a 100% onsite role across multiple US cities, including Boston. You will build high-quality datasets from audio and language data, ensuring models train on accurate inputs with precision and discipline at scale.

Strong judgment, meticulousness, and the ability to work in a structured, repetitive environment are essential.

Qualifications

• Native-level fluency in Arabic.
• Strong written communication skills.
• 1 year of data labeling, annotation, or related work, or a Bachelor's degree in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and accuracy in repetitive tasks.
• Comfort 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.

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 fluency

Attention to detail

Effective communicator

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data is looking for detail-oriented Data Labeling Analysts to support speech and voice AI systems in a 100% onsite role across multiple US cities, including Boston. You will build high-quality datasets from audio and language data, ensuring models train on accurate inputs with precision and discipline at scale.

Strong judgment, meticulousness, and the ability to work in a structured, repetitive environment are essential.