Turkish AI Data Labeling Analyst

Welo Data; Seattle (WA); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Health Insurance

401(k) Retirement Plan

Employee Assistance Program

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems onsite in the United States. This high-impact role focuses on building accurate, well-structured datasets from audio and language data.

You will evaluate model outputs, perform audit-based reviews, follow guidelines, and collaborate with cross-functional teams to improve data quality. Native Turkish fluency and strong communication are essential.

Qualifications

• Native-level fluency in Turkish.
• 1 year of work experience in data labeling or related field, or a Bachelor's degree in a related field.
• Strong written communication skills and language fundamentals.
• Ability to follow detailed instructions and apply guidelines consistently.

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 gaps reflecting real-world scenarios.
• Contribute to improving evaluation frameworks beyond execution.
• Identify trends in model performance and communicate insights clearly.
• Participate in team discussions, calibrations, and stakeholder syncs.
• Collaborate with leads and cross-functional teams to refine quality standards.
• Document findings clearly and concisely.

Skills

Turkish fluency

Attention to detail

Strong written communication

1 year experience or degree

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems onsite in the United States. This high-impact role focuses on building accurate, well-structured datasets from audio and language data.

You will evaluate model outputs, perform audit-based reviews, follow guidelines, and collaborate with cross-functional teams to improve data quality. Native Turkish fluency and strong communication are essential.