Welo Data is hiring Data Labeling Associates in San Francisco for Project Perseus, focusing on evaluating Arabic nuances in AI models. Candidates should have professional-level Spanish proficiency, a bachelor's degree, and 2+ years in AI safety. Responsibilities include critiquing AI outputs, applying linguistic guidelines, and sharing model performance insights. The role offers full security benefits, gourmet dining, and a collaborative environment. This is a chance to play a key role in AI evaluation and improvement.
Qualifications
Deep understanding of Arabic language nuances and contexts.
Ability to critique AI outputs for accuracy and tone.
Experience with generative AI and safety assessments.
Responsibilities
Critique Arabic AI outputs for accuracy, fluency, and tone.
Use GenAI safety experience to identify risks in datasets.
Apply complex linguistic guidelines to evaluation frameworks.
Identify trends in model performance and communicate findings.
Participate in team syncs to ensure consistent quality.
Skills
Professional-level proficiency in Spanish
English proficiency (B2 level or superior)
Professional writing (1-2 years)
AI safety expertise (2+ years)
Critical thinking
Technical agility
Education
Bachelor's degree or higher
Job description
Welo Data is hiring Data Labeling Associates in San Francisco for Project Perseus, focusing on evaluating Arabic nuances in AI models. Candidates should have professional-level Spanish proficiency, a bachelor's degree, and 2+ years in AI safety. Responsibilities include critiquing AI outputs, applying linguistic guidelines, and sharing model performance insights. The role offers full security benefits, gourmet dining, and a collaborative environment. This is a chance to play a key role in AI evaluation and improvement.