Mediabistro logo
job logo

Portuguese (Portugal) 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 (Portugal) 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:

Washington State (On-Site: Redmond, Seattle, or Bellevue)

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:
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