🇪🇸 Spanish Data Annotation Specialist

About the role

Innodata Inc. is looking for Spanish AI Data Annotation Specialists to support Artificial Intelligence and Machine Learning projects. The work involves annotating and labeling images and data to help train and improve AI systems. This is a student-friendly freelancing opportunity; students, fresh graduates, and individuals looking to start a career in AI and data operations are encouraged to apply.

Responsibilities

• Annotate and label images, text, and other data according to project guidelines.
• Perform image classification, object identification, tagging, and data categorization.
• Review and validate annotations for accuracy and consistency.
• Work with Spanish-language data and understand its context and meaning.
• Identify and correct annotation errors.
• Follow project-specific instructions and quality standards.
• Maintain accuracy and productivity while working on assigned datasets.
• Collaborate with project and quality teams when clarification is required.

Requirements

• Good to excellent Spanish proficiency; reading and comprehension are essential.
• Basic to good English communication skills.
• Strong attention to detail.
• Comfort using computers and online or web-based tools.
• Ability to follow detailed instructions and guidelines.
• Good organizational and time management skills.
• Preferred: Spanish certification or demonstrated proficiency; experience in data annotation, data labeling, content moderation, or QA; familiarity with AI, Machine Learning, Computer Vision, or NLP; or experience with image annotation or data-labeling platforms.

Benefits

• Gain practical exposure to AI and Machine Learning projects.
• Flexible, student-friendly work opportunities depending on project requirements.
• Opportunity to develop experience in AI data operations and annotation.
• Suitable for candidates looking to build their profile in the growing AI industry.

How to apply

Postúlate directamente en CazVid.

Datos clave

• Annotate and label images, text, and other data to help train and improve AI systems.
• Good to excellent Spanish proficiency; reading and comprehension are essential.
• Basic to good English communication skills.
• Flexible, student-friendly work opportunities depend on project requirements.