Data Annotation Specialist- Spanish Language

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role: 

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We are seeking a passionate and detailed-oriented Data Annotation Specialist with Spanish language fluency to support the evaluation and labeling of images, search queries and other forms of data for a large enterprise client. This person should have strong critical thinking and written skills to be able to understand challenging guidelines and articulate their understanding. Ideally, this person will have past data annotation experience, but this is not a requirement.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

You’ll Thrive in This Role If You Have: 

• 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.
• A Bachelor’s degree or higher in a humanities specialization is required. 
• Spanish Language Fluency

The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. 

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.