Turkish Data Labeling Associate - California based

Welo Data; San Francisco (CA); On-site; USD 70,000 - 71,000; Full time

Benefits offered by this job

Gourmet dining

Snack suites

Commuter support

Full security benefits

Job summary

Welo Data is seeking a Data Labeling Associate for Project Perseus in San Francisco, CA. This position involves critiquing Arabic AI outputs for accuracy, identifying biases in datasets, and ensuring model improvement. Candidates must have native Turkish proficiency, a University degree, and 2+ years of experience in AI safety. The role offers campus benefits such as gourmet dining and comprehensive health coverage, fostering a collaborative environment in AI evaluation and improvement.

Qualifications

• 2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
• 1–2 years of experience in professional writing, journalism, or content creation.
• Ability to make sound judgment calls in ambiguous scenarios.

Responsibilities

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

Skills

Native-level Turkish proficiency

B2 level English proficiency

Professional writing experience

Generative AI safety expertise

Critical thinking

Technical agility with 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, 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.