Role Summary

• As a Data Annotation Specialist, you’ll help train and improve AI systems by reviewing, labeling, and structuring data across a variety of formats (text, images, audio, or documents). Your work will directly impact how AI models learn and perform in real-world applications.

Responsibilities:

• Review and annotate data according to detailed guidelines
• Label, classify, or extract information from datasets with high accuracy
• Maintain quality and productivity targets
• Identify edge cases, inconsistencies, or unclear data
• Follow feedback and continuously improve annotation quality
• Collaborate with reviewers and project leads when needed

Requirements

What Makes You a Great Fit

• Strong attention to detail and consistency
• Good problem-solving and critical thinking skills
• Comfortable working with repetitive, accuracy-focused tasks
• Able to follow structured guidelines precisely
• Reliable, organized, and quality-driven

Requirements

• Good English reading and comprehension skills
• Basic digital literacy (spreadsheets, online tools, platforms)
• Typing accuracy and efficiency
• Previous experience in data annotation, data entry, or similar work is a plus