Turkish Data Labeler — Onsite AI Quality & Feedback

Welo Data; New York (NY); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid Vacation 6 days

Paid Holidays 2 days

Sick Leave

Medical, Dental & Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Other voluntary benefits

Free meals (onsite)

Onsite commuter benefits

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 building high-quality datasets from audio and language data, requiring strong judgment, attention to detail, and consistency.

You will evaluate AI outputs, perform audits, and help refine evaluation frameworks while collaborating with cross-functional teams. Location options include NYC, Seattle, Bay Area, or other client sites.

Qualifications

• Turkish language fluency at native level.
• Strong written communication and language fundamentals.
• At least 1 year of data labeling 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 working in structured, process-driven environments.
• Good time management and steady output.
• 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

Turkish language fluency

Strong written communication

Follow detailed instructions

Attention to detail

Structured/process-driven work

Time management

Ask questions when needed

AI/speech data familiarity

Education

Bachelor's degree or related field

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on building high-quality datasets from audio and language data, requiring strong judgment, attention to detail, and consistency.

You will evaluate AI outputs, perform audits, and help refine evaluation frameworks while collaborating with cross-functional teams. Location options include NYC, Seattle, Bay Area, or other client sites.