Portuguese (Portugal) Data Labeling Associate - California based
Welo Data, San Francisco, CA, United States
Overview
Refine the Future of Multilingual AI
Do you have professional-level proficiency in Portuguese (Portugal) and a background in writing, with attention to AI safety?
Responsibilities
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: Professional-level proficiency in Portuguese (Portugal) and a bachelor’s degree 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, 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.
#J-18808-Ljbffr
Refine the Future of Multilingual AI
Do you have professional-level proficiency in Portuguese (Portugal) and a background in writing, with attention to AI safety?
Responsibilities
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: Professional-level proficiency in Portuguese (Portugal) and a bachelor’s degree 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, 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.
#J-18808-Ljbffr