Turkish Data Labeling Associate - WA based

Welo Data; Redmond (WA); Sur place; USD 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Free breakfast, lunch, and dinner

Micro-kitchens with premium snacks

Modern collaborative spaces

Comprehensive Medical, Dental, and Vision

Commuter support and transport perks

Résumé du poste

Welo Data is seeking Data Labeling Associates for Project Perseus in Redmond, Washington. The role involves evaluating AI systems in the Turkish language, applying linguistic expertise, and leveraging over 2 years of experience in AI safety. Successful candidates will possess a bachelor's degree, critical thinking skills, and professional writing experience. The position offers gourmet dining, health benefits, and a dynamic work environment.

Qualifications

• Professional-level proficiency in Turkish and a bachelor’s degree or higher.
• B2 level or superior English skills to navigate technical guidelines.
• 1–2 years of experience in professional writing, journalism, or content creation.
• 2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
• Ability to make sound judgment calls in ambiguous scenarios.
• Curiosity about LLMs with the confidence to flag issues.

Responsabilités

• Critique AI outputs for accuracy, fluency, and tone.
• Identify bias, risks, and failure modes in datasets.
• Apply complex linguistic guidelines and refine evaluation frameworks.
• Identify trends in model performance and communicate findings.
• Participate in team syncs to ensure quality across workstreams.

Connaissances

Professional-level proficiency in Turkish

B2 level English skills

1–2 years of professional writing experience

2+ years of experience in AI safety

Critical thinking

Formation

Bachelor’s degree or higher

Description du poste

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.

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: Washington State (On-Site: Redmond, Seattle, or Bellevue)
• Pay Rate: 34 $ (per hour)

What We’re Looking For

• 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”.

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.