Portuguese (Portugal) Data Labeling Associate - NYC based

Welo Data; New York (NY); On-site; USD 38,641 - 55,035; Full time

Benefits offered by this job

Gourmet dining with free meals

Snack suites with beverages

Modern collaborative spaces

Comprehensive Medical, Dental, and Vision coverage

Commute support and shuttles

Job summary

Welo Data is seeking Data Labeling Associates for Project Perseus in New York City. This position goes beyond traditional data roles, focusing on evaluating AI systems in handling Arabic language nuances. Candidates should demonstrate professional-level Portuguese proficiency, B2 English skills, and have experience in writing and AI safety. The job offers a full-time, on-site work environment with premium benefits including gourmet dining and comprehensive medical coverage.

Qualifications

• Must have professional-level proficiency in Portuguese (Portugal).
• Requires B2 or superior level English skills.
• Expect 1-2 years in professional writing or content creation.
• At least 2 years focused on AI safety and trust.
• Capable of making sound judgment calls in ambiguous scenarios.
• Should show curiosity about LLMs and AI behavior.

Responsibilities

• Critique Arabic AI outputs for accuracy and fluency.
• Identify bias and risks in Arabic datasets as part of safety engineering.
• Apply complex linguistic guidelines to evaluate real-world Arabic dialects.
• Communicate findings about model performance to technical stakeholders.
• Participate in team syncs for quality assurance across AI workstreams.

Skills

Professional-level proficiency in Portuguese (Portugal)

B2 level English skills

1-2 years of experience in professional writing

2+ years in AI safety expertise

Critical thinking in ambiguous situations

Curiosity about LLMs

Education

Bachelor's degree or higher

Job description

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: New York City (On-Site)
• 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 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.