Remote Spanish Data Annotator for AI Training

Welo Global; España; Remote; EUR 44,000 - 52,000; Full time

Job summary

Welo Global is seeking detail-oriented Trainers to support an AI data annotation project. This remote freelance role involves reviewing pre-seeded questions paired with images and providing gold-standard answers based on visual content.

Ideal candidates are native Spanish speakers with strong English, a bachelor's degree, and meticulous attention to detail. You will follow detailed guidelines, flag unclear images, and maintain quality across batches while working about 10 hours per week.

Qualifications

• Native/Strong proficiency at Spanish.
• Fluent English proficiency (reading/writing).
• Bachelor's degree required.
• Strong attention to detail and accuracy.
• Ability to follow written instructions precisely and consistently.
• Reliable access to a computer and internet connection.
• Prior experience with data annotation, data labeling, or quality review is a plus.

Responsibilities

• Review a pre-seeded question along with an accompanying image (e.g., 'What is the title of the Excel file based on what you see in the image?').
• Carefully examine image content to identify the relevant details needed to answer the question.
• Provide a clear, accurate 'golden' answer based solely on the visual information provided.
• Flag any images that are unclear, corrupted, or insufficient to answer the question.
• Maintain consistency and quality across a batch of tasks.
• Follow project-specific guidelines and rubrics as provided by the project team.

Job description

Welo Global is seeking detail-oriented Trainers to support an AI data annotation project. This remote freelance role involves reviewing pre-seeded questions paired with images and providing gold-standard answers based on visual content.

Ideal candidates are native Spanish speakers with strong English, a bachelor's degree, and meticulous attention to detail. You will follow detailed guidelines, flag unclear images, and maintain quality across batches while working about 10 hours per week.