AI Data Annotation Specialist

• Perform data labeling and annotation across multiple data types (e.g., text, image, sensor data, behavioral signals).
• Apply predefined guidelines to ensure high-quality, consistent annotations.
• Review and validate labeled data to maintain accuracy and reduce bias.
• Collaborate with AI/ML teams to refine labeling schemas and edge cases.
• Identify anomalies, ambiguities, or gaps in datasets and escalate as needed.
• Maintain documentation of labeling decisions and updates to taxonomy.

We are seeking a detail-oriented AI Data Annotation Specialist to support a high-impact AI fine-tuning initiative. This role is responsible for labeling, classifying, and validating datasets to improve the accuracy and performance of machine learning models. The ideal candidate combines precision, consistency, and the ability to follow structured guidelines in a fast-paced environment., * Experience in data annotation and labeling.

• Strong attention to detail and ability to follow structured instructions.
• Analytical thinking with the ability to interpret nuanced scenarios.
• Familiarity with annotation tools (e.g., Labelbox, CVAT, Scale AI, or similar).
• Proficiency with spreadsheets or data tracking tools.
• Ability to work independently and manage high-volume tasks with consistency.

Preferred Qualifications

• Experience supporting machine learning or AI fine-tuning projects.
• Exposure to taxonomy design, classification frameworks, or metadata structuring.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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