General Data Annotation Specialist

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