Portuguese (Brazil) Data Labeling Associate - NYC based

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

Benefits offered by this job

Free breakfast, lunch, and dinner

Micro-kitchens stocked with premium snacks

Comprehensive Medical, Dental, and Vision

401(k) and HSA eligibility

Free transport and bike-to-work perks

Job summary

Welo Data in New York City seeks Data Labeling Associates for Project Perseus. The role entails evaluating AI outputs for accuracy and managing risks in datasets, focusing on Arabic language evaluations. Candidates should have professional-level Portuguese skills and relevant experience in AI safety, writing, and critical thinking. This position offers a full-time contract with premium campus benefits, ensuring a supportive and collaborative work environment.

Qualifications

• Must have professional-level proficiency in Portuguese (Brazil) and B2 level English.
• 2+ years of experience in AI safety is required.
• 1-2 years of experience in writing, journalism, or content creation is essential.

Responsibilities

• Critique Arabic AI outputs for accuracy and provide feedback.
• Identify bias and risks in Arabic datasets.
• Ensure consistent quality across AI workstreams.

Skills

Professional-level proficiency in Portuguese (Brazil)

B2 level English proficiency

1-2 years of professional writing experience

2+ years of AI safety expertise

Critical thinking

Technical agility with LLMs

Education

Bachelor's degree or higher

Job description

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.

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 (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.