Arabic Data Labeling Associate NYC based

Refine the Future of Multilingual AI

Do you have professional-level proficiency in Arabic 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 Arabic 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: New York City (On-Site)
• Pay Rate: 34 $ (per hour)

What Were Looking For:

• Linguistic Mastery: Professional-level proficiency in Arabic and a bachelors degree or higher.
• English Proficiency: B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
• Professional Writing: 12 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 models behavior feels off.

Premium Campus Benefits:

Joining Project Perseus on-site gives you access to a world-class work environment:

• 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.