AI Data Annotator | Data Labeling Specialist | AI Model Training

I am a Computer Science graduate with paid project-based experience in AI data annotation, data labeling, and AI training data preparation. I specialize in accurately reviewing, labeling, and categorizing visual and textual datasets.

I have worked across major global annotation platforms, including Appen, Scale AI, TELUS International AI (Lionbridge), Sama, iMerit, Hive AI, CloudFactory, TaskUs, and Remotasks. I am comfortable adapting quickly to changing project protocols and platform workflows.

My annotation capabilities include image classification, object identification, attribute tagging, text categorization, object boundary labeling, and quality control. I carefully follow structured guidelines to ensure dataset consistency, accuracy, and completeness.

I bring a technical foundation in Python, SQL, programming fundamentals, algorithms, data structures, database systems, and software engineering. This background helps me understand structured data, identify errors, and work systematically with complex data tasks.

I work independently and reliably in remote environments, managing daily workflows, meeting deadlines, and maintaining high throughput. I am immediately available for remote freelance, contract, and project-based AI data annotation roles globally.