Turkish Data Labeling Associate - WA

Overview

Refine the Future of Multilingual AI
Do you have professional-level proficiency in Turkish and a background in writing, with attention to AI safety?

Refine the Future of Multilingual AI
Do you have professional-level proficiency in Turkish and a background in writing, with attention to AI safety?
Welo Data is looking for Data Labeling Associates for Project Perseus
.

This is not a traditional annotation role. You will be working at the intersection of human judgment and machine learning, evaluating how cutting-edge AI systems handle Turkish language nuances, cultural context, and safety boundaries.

• 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 work streams.

• Employment Type:
  
  W2 Full-Time Employee
• Hours:
  
  40 hours/week
• Location:
  
  Washington State (On-Site: Redmond, Seattle, or Bellevue)
• Pay Rate: 34 $ (per hour)

• Linguistic Mastery:
  Professional-level proficiency in Turkish and a bachelor’s degree 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”.

• 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.

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.