Turkish Data Labeler

Welo Data; New York (NY); Presencial; USD 32.000 - 45.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

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

Educación

Bachelor's degree or related field

Descripción del empleo

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details

• Job Title: Project Perseus | Speech & Voice AI Analyst - Turkish Speakers


• Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)


• Hours: Full-time, 40 hours per week


• Employment Type: W2 Full-Time Employee


• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)


• Pay Rate: $28/hour

Important

This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.

What You’ll Do

• 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

What We’re Looking For

• Native-level fluency in Turkish


• Strong written communication skills and language fundamentals


• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.


• Ability to follow detailed instructions and apply guidelines consistently


• High attention to detail and ability to maintain accuracy in repetitive tasks


• Comfort working in structured, process-driven environments


• Ability to manage time effectively and maintain steady output


• Willingness to ask questions and elevate when needed


• Basic familiarity with AI, speech technology, or language data is a plus

Benefits

• Paid Vacation: 6 days


• Paid Company Holidays: 2 days (Memorial Day and Labor Day)


• Paid Sick Leave: accrued per applicable state law and company policy


• Medical, Dental, and Vision Insurance (eligibility applies)


• Health Savings Account (HSA)
  
• 401(k) Retirement Plan


• Employee Assistance Program


• Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable)

• Free breakfast, lunch, and dinner


• Stocked micro-kitchens with snacks and beverages


• Commuter benefits, including shuttles and bike-to-work options


• Unique campus features depending on location