Turkish Data Labeling Associate - California based

Welo Data

San Francisco (CA)

On-site

USD 63,000 - 77,000

Full time

14 days+

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Benefits offered by this job

Free gourmet dining
Snack suites with premium coffee
Comprehensive Medical, Dental, and Vision
401(k) and HSA eligibility
Free transportation and shuttle services

Job summary

Welo Data is seeking a Data Labeling Associate to evaluate AI outputs and improve generative AI safety. The role involves using your linguistic mastery in Turkish and proficiency in English to critique model performance, identify risks, and participate in team collaborations. This full-time position in San Francisco offers a competitive pay rate of $34 per hour and comes with gourmet dining, comprehensive benefits, and a vibrant work culture focused on the future of AI evaluation.

Qualifications

  • Native-level Turkish proficiency with a degree.
  • B2 level or superior English for technical guidelines.
  • 1–2 years in professional writing or journalism.
  • 2+ years experience in AI safety.

Responsibilities

  • Critique AI outputs for accuracy and fluency.
  • Identify risks and bias in Arabic datasets.
  • Refine evaluation frameworks for Arabic dialects.
  • Identify trends in model performance.
  • Participate in team syncs for quality control.

Skills

Turkish proficiency
English proficiency (B2 or higher)
Professional writing
AI safety expertise
Critical thinking
Technical agility regarding LLMs

Education

University Degree (Bachelor's or higher)

Job description

Refine the Future of Multilingual AI

Are you a native Turkish speaker with a professional background in writing and a keen eye for AI safety? Welo Data is looking for Data Labeling Associates for Project Perseus.

The Mission: Human-in-the-Loop Excellence
  • Model Evaluation: Critique Arabic AI outputs for accuracy, fluency, and tone, providing structured feedback to drive model improvement.
  • Safety Engineering: Use your 2+ years of GenAI safety experience to identify bias, risks, and failure modes in Arabic datasets.
  • Guideline Evolution: Apply complex linguistic guidelines thoughtfully and help refine evaluation frameworks to reflect real-world Arabic dialects and contexts.
  • Strategic Insights: Identify trends in model performance and communicate findings clearly to technical stakeholders.
  • Collaborative Calibration: Participate in team syncs to ensure consistent quality across global AI workstreams.
Project Details
  • Employment Type: W2 Full-Time Employee
  • Hours: 40 hours/week
  • Location: California (On-Site: San Francisco, Sunnyvale, or Burlingame)
  • Pay Rate: $34 per hour
What We’re Looking For
  • Linguistic Mastery: Native-level Turkish proficiency and a University Degree (Bachelor’s or higher).
  • English Proficiency: B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
  • Professional Writing: 1–2 years of experience in professional writing, journalism, or content creation.
  • AI Safety Expertise: 2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
  • Critical Thinking: The ability to make sound judgment calls in ambiguous "grey area" scenarios.
  • Technical Agility: A natural curiosity about LLMs and the confidence to flag issues when a model's behavior feels "off."
Premium Campus Benefits
  • Gourmet Dining: Free breakfast, lunch, and dinner with a wide variety of cuisines.
  • Snack Suites: Micro-kitchens stocked with premium coffee, beverages, and healthy treats.
  • Campus Features: Modern collaborative spaces and unique amenities like rooftop nature parks (at select locations).
  • Full Security: Comprehensive Medical, Dental, and Vision + 401(k) and HSA eligibility.
  • Commuter Support: Free transport, shuttles, and bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

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