Turkish Data Labeling Associate

Welo DataWelo DataSouth San Francisco, California, United States
Join the waitlist to applySave this job

Invite-only right now: save jobs, track applications, build tailored resumes

Already have an account? Log in

Posted

9/23/2026

Employment

Full time

Range

$34 - $34/hr

Work style

On-site

AI documents

Powered by AI

Jigup writes these against this posting once you are in, using the profile you build once.

Career path

See where this role leads

Jigup maps the next three moves from a job like this one, with the titles and the skills each step asks for.

Join the waitlist

AI summary

Core responsibilities

Evaluate AI model outputs by identifying patterns, edge cases, and failure modes to improve system performance. Collaborate with cross-functional teams to refine quality standards and document actionable findings.

Requirements overview

Requires native-level Turkish proficiency, a bachelor's degree, and 1-2 years of professional writing experience. Candidates must be able to work onsite in one of the specified U.S. cities.

Key skills

Data labelingAI model evaluationCritical thinkingQuality assuranceTechnical writingData analysisAttention to detailCommunication skillsTurkish language proficiencyEnglish language proficiencyGenAI safetyStakeholder management

Resume keywordsJigup Pro

This job lists resume keywords

The terms this posting uses, pulled out so you can mirror them in your resume. Jigup Pro members see the list on the job board.

Join the waitlist

Education requirements

bachelor degree

About Welo Data

Industry

Translation and Localization

Employees

5,831

Type

Privately Held

Size

1,001-5,000 employees

Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.

View company page

Job categories

Data & AnalyticsTechnologySoftware

Description

Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Project Perseus | Data Labeling Associate -Turkish Speakers (Human-in-the-Loop AI) Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston 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: $34/hour Contract Duration: 1-year contract with possibility of extension 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, 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 language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Requirements

  • Data labeling
  • AI model evaluation
  • Critical thinking
  • Quality assurance
  • Technical writing
  • Data analysis
  • Attention to detail
  • Communication skills
  • Turkish language proficiency
  • English language proficiency
  • GenAI safety
  • Stakeholder management

Benefits

  • Paid vacation
  • Paid company holidays
  • Paid sick leave
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Health savings account
  • 401(k) retirement plan
  • Employee assistance program
  • Free gourmet food
  • Free snacks and beverages
  • Commuter benefits

More entry level jobs in South San Francisco, CA

All jobs in South San Francisco, CA

More jobs at Welo Data

Ready to apply?

Jigup is invite-only right now. Join the waitlist to save jobs, track applications, and build tailored resumes.

Join the waitlist