Turkish Data Labeling Analyst — Onsite AI Data Power

Welo Data; Washington (District of Columbia); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Paid Holidays: 2 days (Memorial Day & 

Paid Sick Leave: accrued per state law

Job summary

Welo Data seeks detail-oriented Data Labeling Analysts to support speech and voice AI systems. The role focuses on building high-quality datasets with audio, speech, and language data, requiring strong judgment, attention to detail, and consistency. It sits at the intersection of language, data, and AI systems, demanding precision at scale.

This is a 100% onsite position with no remote work. Eligible cities include NYC, Seattle, Bay Area, Washington DC, and others as client needs dictate.

Qualifications

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

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior, identifying patterns and edge cases.
• Apply guidelines thoughtfully and flag when they don’t reflect real-world scenarios.
• Contribute to improving evaluation frameworks beyond execution.
• Identify trends in model performance and communicate insights clearly.
• Participate in team 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

Turkish (native-level)

Strong written communication

Attention to detail

Education

Bachelor's degree or equivalent

Job description

Welo Data seeks detail-oriented Data Labeling Analysts to support speech and voice AI systems. The role focuses on building high-quality datasets with audio, speech, and language data, requiring strong judgment, attention to detail, and consistency. It sits at the intersection of language, data, and AI systems, demanding precision at scale.

This is a 100% onsite position with no remote work. Eligible cities include NYC, Seattle, Bay Area, Washington DC, and others as client needs dictate.