Turkish Data Labeler for AI Speech Systems (Onsite)

Welo Data

Boston (MA)

On-site

USD 32,000 - 45,000

Full time

4 days ago
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Benefits offered by this job

Paid Vacation: 6 days
Paid Holidays: 2 days
Paid Sick Leave
Medical, Dental, and Vision Insurance
Health Savings Account
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits
Free breakfast, lunch, and dinner (ons
Shuttles and bike-to-work options
Unique campus features

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. You will work with audio and language data to ensure high-quality, well-structured datasets for real-world AI models.

This onsite role emphasizes execution with strong judgment, attention to detail, and consistency, operating at the intersection of language and AI at scale. Join a focused team delivering precise feedback and insights.

Qualifications

  • Native-level fluency in Turkish required.
  • 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, edge cases and failure modes.
  • Apply guidelines thoughtfully and flag discrepancies with 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

Turkish fluency

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. You will work with audio and language data to ensure high-quality, well-structured datasets for real-world AI models.

This onsite role emphasizes execution with strong judgment, attention to detail, and consistency, operating at the intersection of language and AI at scale. Join a focused team delivering precise feedback and insights.

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