About Vetto
Vetto is a global platform that connects top-tier professionals with strategic Artificial Intelligence projects.
The company focuses on delivering high-quality data and building trust in AI systems by working with exceptional talent and leading technology organizations worldwide.
Role Overview
We are seeking QA (Quality Assurance) Experts to support AI-related projects.
In this role, you will audit, review, and validate tasks completed by human annotators to ensure the highest standards of data quality, accuracy, and compliance. Your work will directly impact the reliability and performance of AI systems.
Key Responsibilities
- Review and audit tasks and responses produced by annotators
- Ensure all outputs meet strict quality and evaluation standards
- Identify inconsistencies, errors, or guideline violations
- Detect potential AI-generated or non-compliant content
- Provide feedback to improve task quality and consistency
- Maintain high standards of accuracy and attention to detail
Required Skills & Qualifications
- Strong attention to detail and analytical thinking
- Experience in quality assurance, auditing, or data review
- Excellent written communication skills (English required)
- Ability to follow strict guidelines and evaluation criteria
- Strong judgment in identifying errors and inconsistencies
- Ability to work independently in a remote environment
Selection Process
- Complete an application with detailed responses
- Choose a task from the Task Hub and submit one form
- Follow all instructions carefully
- All answers must be written in English
- Applicants must complete tasks independently (no AI assistance allowed)
Referral Opportunity
- Earn $20 USD per approved referral
- Share your referral link via the “Refer & Earn” program
Work Details
- Work Type: Fully remote
- Engagement: Project-based / Contractor
- Flexible participation depending on project availability
Additional Notes
- High-quality data is critical to AI system performance
- Ideal for professionals experienced in QA, auditing, or annotation review
- Opportunity to contribute to real-world AI systems and evaluation pipelines