Refine the Future of Multilingual AI
Do you have professional-level proficiency in Italian 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 Were Looking For:
- Linguistic Mastery: Professional-level proficiency in Italian and a bachelors degree or higher.
- English Proficiency: B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
- Professional Writing: 12 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 models 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.
Refine the Future of Multilingual AIDo you have professional-level proficiency in Italian 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 o...
Refine the Future of Multilingual AI
Do you have professional-level proficiency in Italian 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 Were Looking For:
- Linguistic Mastery: Professional-level proficiency in Italian and a bachelors degree or higher.
- English Proficiency: B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
- Professional Writing: 12 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 models 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.
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