Portuguese (Brazil) Data Labeling Associate - WA based
Welo Data, Redmond, WA, United States
Refine the Future of Multilingual AI
Do you have professional-level proficiency in Portuguese (Brazil) 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:
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 (Brazil) 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:
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.
#J-18808-Ljbffr
Do you have professional-level proficiency in Portuguese (Brazil) 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:
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 (Brazil) 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:
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.
#J-18808-Ljbffr