Data Annotation Specialist- Spanish Language at Innodata Inc. · Remote

Summary: Innodata Inc. is a global data engineering company focused on enabling the responsible advancement of artificial intelligence. They are seeking a passionate Data Annotation Specialist fluent in Spanish to support the evaluation and labeling of various data forms for a large enterprise client, contributing to the development of generative AI and large language models. Responsibilities: - Support the evaluation and labeling of images, search queries, and other forms of data for a large enterprise client - Help LLMs learn the intricacies of language and reasoning - Contribute to cutting-edge AI development while maintaining control over your time Required Qualifications: - A Bachelor's degree or higher in a humanities specialization is required - Spanish Language Fluency Preferred Qualifications: - Experience with Annotation Tools – Familiarity with platforms like Labelbox, CVAT, Prodigy, or Amazon SageMaker Ground Truth - Understanding of Machine Learning Concepts – Basic knowledge of how annotations impact model training and evaluation - Quality Assurance (QA) Experience – Skill in reviewing or validating annotations done by others - Adaptability to Evolving Guidelines – Comfort with changing instructions and updating work practices accordingly - Team Collaboration Tools Proficiency – Familiarity with tools like Jira, Slack, or Trello for task tracking and communication - Problem-Solving Mindset – Proactive in identifying annotation issues or proposing improvements to workflows - Attention to Detail – Ability to consistently identify and label subtle patterns or elements - Basic Technical Literacy – Comfortable using annotation tools and understanding data formats (e.g., text, image, audio) - Consistency and Accuracy – Ability to apply guidelines uniformly across large datasets - Critical Thinking – Capable of resolving ambiguous cases based on annotation rules - Communication Skills – Can report edge cases or unclear instructions to team leads or developers - Time Management – Able to meet productivity targets without sacrificing quality Required Skills: Annotation Tools, Machine Learning Concepts, Quality Assurance, Jira, Slack, Trello, Spanish Language Fluency