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
