Martin K.

Key Skills

Software

Data Annotation Tech

Remotasks

Top Subject Matter

HEALTHCARE

FIANANCE

Top Data Types

Image

Video

Text

Top Task Types

Data Collection

Text Summarization

Question Answering

Text Generation

Freelancer Overview

Education includes Bachelor of Information Technology, University of NairI have experience working on AI training data and data labeling projects that required strong attention to detail, consistency, and accuracy. My work has included image annotation, text classification, sentiment tagging, and data verification for machine learning systems. I have handled large datasets while following detailed annotation guidelines to ensure the data remained reliable and useful for AI model training. Through these projects, I developed the ability to work efficiently under deadlines without compromising quality. What sets me apart is my focus on precision and adaptability. I understand that high-quality training data directly impacts how well an AI model performs, so I always take time to review my work carefully and maintain consistency across tasks. I am comfortable learning new tools and project requirements quickly, and I work well independently as well as within collaborative teams. My combination of accuracy, reliability, and commitment to delivering clean, organized datasets has helped me contribute effectively to AI and data annotation projects. obi (2026).

Labeling Experience

Data Annotation & Labeling Specialist for AI and Machine Learning Projects

TextQuestion Answering

I worked on a large-scale image and text annotation project designed to improve the accuracy of AI-powered content recognition systems. My role involved labeling thousands of data samples, including object detection in images, text categorization, sentiment tagging, and data verification. The project required careful attention to detail because even small labeling errors could affect the model’s performance and reliability. Over the course of the project, I annotated and reviewed more than 50,000 data points while following strict client guidelines and annotation standards. I consistently maintained high accuracy by performing double-check reviews, cross-validating labels, and correcting inconsistencies before submission. To ensure quality, I followed detailed QA procedures such as guideline compliance checks, peer reviews, and random audit sampling. I also met tight deadlines while maintaining consistency across the dataset, helping the team deliver clean, reliable training data for machine learning models.

2024 - Present

Education

Work History