Remote AI Trainer & Data Annotation Specialist

YO AI Labs; Antwerpen; À distance; EUR 21 000 - 39 000; Plein temps

Résumé du poste

YO AI Labs is seeking Generalists for remote data annotation and content evaluation. The role focuses on reviewing, annotating, and improving AI-related data with strong emphasis on accuracy and quality.

Candidates should be comfortable working independently in a remote setting and possess excellent English communication and analytical skills. The position involves analyzing diverse data, providing clear feedback, and meeting project guidelines and deadlines while collaborating with distributed

Qualifications

• Strong written and verbal English communication skills.
• Excellent critical-thinking and analytical abilities.
• High attention to detail and accuracy.
• Experience in data annotation or labeling is a plus.
• Strong time management and ability to work independently.
• Comfortable working in a remote environment.

Responsabilités

• Analyze, review, and annotate various types of data.
• Evaluate and improve AI-generated content and responses.
• Provide clear, accurate written feedback and insights.
• Perform problem-solving tasks across multiple domains.
• Follow project guidelines and quality standards.
• Collaborate effectively with remote teams.
• Meet deadlines while maintaining strong attention to detail.

Connaissances

English communication

Critical thinking

Analytical abilities

Attention to detail

Time management

Independent work

Remote work experience

Data annotation

Description du poste

YO AI Labs is seeking Generalists for remote data annotation and content evaluation. The role focuses on reviewing, annotating, and improving AI-related data with strong emphasis on accuracy and quality.

Candidates should be comfortable working independently in a remote setting and possess excellent English communication and analytical skills. The position involves analyzing diverse data, providing clear feedback, and meeting project guidelines and deadlines while collaborating with distributed