Granton Akunga

Key Skills

Software

Appen

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Top Data Types

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Classification

Freelancer Overview

I am a detail-oriented Computer Science undergraduate with hands-on experience in AI evaluation, data annotation, and quality assessment. My work has focused on reviewing AI-generated outputs, identifying edge cases, inconsistencies, and policy gaps, and providing structured feedback to improve accuracy and compliance. I am skilled in logical reasoning, scenario analysis, and error detection, and I am comfortable working with structured data formats like JSON and YAML. Fluent in English, Swedish, and Swahili, I excel in remote, asynchronous environments that require independent judgment and precision. I am eager to contribute to AI training, evaluation, and data labeling projects, leveraging my strong analytical skills and familiarity with LLM behavior to ensure high-quality outcomes.

Labeling Experience

AI Data Labeling & Annotation Specialist

AppenTextClassification

As an AI Data Labeling & Annotation Specialist, I contributed to numerous AI training and data labeling projects focusing on text and structured datasets. My work involved classifying, categorizing, tagging, and evaluating data for AI model development and quality assurance. I utilized various industry-standard platforms and closely adhered to project guidelines to ensure consistency and accuracy. • Evaluated and corrected annotation inconsistencies to uphold high quality. • Performed AI response evaluation, sentiment labeling, and search relevance review. • Identified ambiguous cases, edge scenarios, and potential model errors during annotation. • Consistently met project deadlines while maintaining high accuracy standards.

As an AI Data Labeling & Annotation Specialist, I contributed to numerous AI training and data labeling projects focusing on text and structured datasets. My work involved classifying, categorizing, tagging, and evaluating data for AI model development and quality assurance. I utilized various industry-standard platforms and closely adhered to project guidelines to ensure consistency and accuracy. • Evaluated and corrected annotation inconsistencies to uphold high quality. • Performed AI response evaluation, sentiment labeling, and search relevance review. • Identified ambiguous cases, edge scenarios, and potential model errors during annotation. • Consistently met project deadlines while maintaining high accuracy standards.

2022

Education

Work History