Data Annotator Specialist

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Job Summary

Join our customer's team as an Data Annotator Specialist, where your expertise will have a direct impact on the development of cutting-edge AI solutions. This role is ideal for a detail-oriented professional who thrives in remote environments and is passionate about high-quality data curation, annotation, and communication. Collaborate cross-functionally to ensure robust data foundations that power innovative machine learning applications.

Key Responsibilities

• Curate, annotate, and validate datasets to support AI and machine learning model development.
• Work extensively with JSON data structures to structure, clean, and transform complex datasets.
• Collaborate closely with data scientists and engineers to interpret data requirements and resolve ambiguities.
• Develop and maintain data annotation guidelines, ensuring consistency and quality across projects.
• Perform rigorous data quality checks and proactively identify errors or outliers for resolution.
• Document workflows and processes clearly for both technical and non-technical stakeholders.
• Communicate insights, challenges, and status updates effectively in both written and verbal channels.

Required Skills and Qualifications

• Proven experience in data annotation and curation within AI or machine learning environments.
• Advanced proficiency in working with JSON data formats and related tools.
• Exceptional written and verbal communication skills, with a strong attention to detail.
• Ability to work independently in a fully remote setting while collaborating within a distributed team.
• Strong analytical problem-solving skills and the ability to adapt to evolving project needs.
• Solid organizational skills and a knack for managing multiple data projects simultaneously.
• Demonstrated commitment to maintaining data integrity and consistency.

Preferred Qualifications

• Experience with annotation platforms or tools commonly used in AI projects.
• Background in computer science, data science, or a related technical field.
• Familiarity with large-scale data management and quality control processes.