Data Labeling Associate: AI Safety & Portuguese (BR) On-site

Welo Data; San Francisco (CA); On-site; USD 38,641 - 55,035; Full time

Benefits offered by this job

Free gourmet dining

Snack suites

Modern collaborative spaces

Comprehensive Medical, Dental, and Vision

Commuter support

Job summary

Welo Data is looking for a full-time Data Labeling Associate for Project Perseus in San Francisco. This role requires professional proficiency in Portuguese (Brazil) and involves evaluating Arabic AI outputs, ensuring AI safety, and refining model guidelines. Candidates should possess a Bachelor's degree, strong writing skills, and 2+ years of AI safety experience. Benefits include gourmet dining, modern workspaces, and comprehensive medical coverage.

Qualifications

• Professional-level proficiency in Portuguese (Brazil) and a Bachelor's degree or higher.
• B2 level or superior English skills.
• 1-2 years of experience in professional writing, journalism, or content creation.
• 2+ years of experience focusing on Safety & Trust in Generative AI.

Responsibilities

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

Skills

Linguistic Mastery in Portuguese (Brazil)

Professional Writing

AI Safety Expertise

Critical Thinking

Technical Agility

Education

Bachelor's degree or higher

Job description

Welo Data is looking for a full-time Data Labeling Associate for Project Perseus in San Francisco. This role requires professional proficiency in Portuguese (Brazil) and involves evaluating Arabic AI outputs, ensuring AI safety, and refining model guidelines. Candidates should possess a Bachelor's degree, strong writing skills, and 2+ years of AI safety experience. Benefits include gourmet dining, modern workspaces, and comprehensive medical coverage.