
Project Perseus | Data Labeling Associate - Portuguese (Portugal) Speakers (Human-in-the-Loop AI)
About this role
Enterprise AI Training Data & Human is hiring a Data Labeling Associate to evaluate cutting-edge AI systems and improve real-world model behavior. This full-time onsite position is suited for sharp, curious individuals who possess strong critical thinking skills and want to work at the intersection of data quality and model evaluation.
Role Overview
This position involves working directly with advanced artificial intelligence models to assess outputs, spot gaps, and enhance system performance. The work relies heavily on human judgment, analytical thinking, and the ability to follow specific guidelines while collaborating effectively with team members, leads, and stakeholders.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Enterprise AI Training Data & Human operates in the artificial intelligence sector, focusing on human-in-the-loop AI training data, model evaluation, and data quality improvement.
How to Apply
Interested candidates should visit the official company careers page at welodata.ai to submit their application, ensuring they meet the mandatory onsite location and work authorization requirements.
Questions candidates ask
What is the pay rate for this role?
The pay rate is $34 per hour.
Is remote work allowed for this position?
No, this is a 100% onsite position and remote work is not available. Candidates must be located in or able to commute to specific approved cities.
What are the approved hiring locations?
Approved locations include New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston.
Is visa sponsorship provided?
No, candidates must be authorized to work in the U.S. as no visa sponsorship is available.
What is the employment type and contract duration?
This is a W2 full-time employee position structured as a one-year contract with the possibility of an extension.