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Andrew M.

Andrew M.

Data Annotation Practice (Independent)

Kenya flagNairobi, Kenya

Key Skills

Software

CVATCVAT
RoboflowRoboflow
LabelboxLabelbox
Label StudioLabel Studio
DoccanoDoccano
V7 LabsV7 Labs

Top Subject Matter

Structured data classification and tagging
Risk &Fraud Data Labeller
Structured Data Classification

Top Data Types

TextText

Top Task Types

ClassificationClassification

Freelancer Overview

I have experience working on AI training data projects involving data labeling, annotation, quality review, and content evaluation across text, image, and conversational datasets. My work has included annotating datasets for natural language processing (NLP), evaluating AI-generated responses for accuracy and safety, categorizing content, and ensuring data consistency according to detailed client guidelines. I am skilled at maintaining high accuracy while meeting productivity targets, and I am comfortable using annotation platforms, spreadsheets, and collaborative workflow tools. I also have experience identifying edge cases, resolving ambiguous labeling scenarios, and providing structured feedback to improve dataset quality. What sets me apart is my strong attention to detail, analytical thinking, and ability to quickly adapt to new project requirements and annotation standards. I have a solid understanding of AI model behavior, data quality assurance processes, and the importance of unbiased, high-quality training data in improving machine learning systems. In addition, I communicate effectively within remote teams, manage time efficiently, and consistently deliver reliable results under tight deadlines.

Labeling Experience

Data Annotation Practice (Independent)

TextTextClassificationClassification

Performed independent labeling and categorizing of structured datasets to support AI training. Followed detailed instructions to ensure consistent annotation across repeated tasks. Checked work for accuracy and quality to maintain reliable dataset outputs. • Labeled dataset entries and applied categories consistently • Entered structured data using spreadsheets • Maintained accuracy through repeated labeling cycles • Focused on quality assurance and error checking

2025 - Present

Education

E

Egerton University

Diploma, Data Notation

Diploma
2025 - 2025

Work History

I

Independent Practice

Data Annotation Practice Participant

Nairobi
2025 - 2025