Remote Data Labeling Specialist (AI Training)

Alignerr Corp.; Portugal; Presencial; EUR 11 000 - 22 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Flexible schedule

Freelance autonomy

Resumo da oferta

Alignerr is seeking a Data Labeling Specialist to categorize, tag, and annotate data powering AI systems. This fully remote, hourly contract role offers flexible hours and independent work on varied datasets. No prior AI experience required; strong attention to detail and the ability to follow structured instructions are essential.

Join Alignerr to contribute to real AI projects with a flexible schedule and remote collaboration, with ongoing opportunities for future work.

Qualificações

• Detail-oriented with a systematic, consistent approach to repetitive tasks.
• Able to follow structured instructions carefully and precisely.
• Comfortable working with web-based tools and interfaces.
• Self-motivated and reliable when working independently.
• No prior data labeling or AI experience required.

Responsabilidades

• Categorize and tag data — including text, images, and audio — using predefined guidelines and label sets
• Annotate content accurately and consistently across large datasets
• Follow structured project instructions and quality standards with precision
• Participate in calibration exercises to maintain high accuracy across your work
• Complete task-based assignments independently on your own schedule

Conhecimentos

Detail-oriented

Follow instructions precisely

Self-motivated

Reliable

Web-based tools

Ferramentas

Web-based tools

Descrição da oferta de emprego

Alignerr is seeking a Data Labeling Specialist to categorize, tag, and annotate data powering AI systems. This fully remote, hourly contract role offers flexible hours and independent work on varied datasets. No prior AI experience required; strong attention to detail and the ability to follow structured instructions are essential.

Join Alignerr to contribute to real AI projects with a flexible schedule and remote collaboration, with ongoing opportunities for future work.