Spanish Data Labeling Associate - California based

Welo Data • San Francisco, CA

15h • Onsite

About The Position

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.

Requirements

• Professional-level proficiency in Spanish and a bachelor’s degree or higher.
• B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
• 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.
• The ability to make sound judgment calls in ambiguous "grey area" scenarios.
• A natural curiosity about LLMs and the confidence to flag issues when a model's behavior feels "off."

Responsibilities

• Critique Arabic AI outputs for accuracy, fluency, and tone, providing structured feedback to drive model improvement.
• Use your 2+ years of GenAI safety experience to identify bias, risks, and failure modes in Arabic datasets.
• Apply complex linguistic guidelines thoughtfully and help refine evaluation frameworks to reflect real-world Arabic dialects and contexts.
• Identify trends in model performance and communicate findings clearly to technical stakeholders.
• Participate in team syncs to ensure consistent quality across global AI workstreams.

Benefits

• Free breakfast, lunch, and dinner with a wide variety of cuisines.
• Micro-kitchens stocked with premium coffee, beverages, and healthy treats.
• Modern collaborative spaces and unique amenities like rooftop nature parks (at select locations).
• Comprehensive Medical, Dental, and Vision + 401(k) and HSA eligibility.
• Free transport, shuttles, and bike-to-work perks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees