Steve

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Classification

Question Answering

Emotion Recognition

Text Summarization

Translation Localization

Freelancer Overview

I am a detail-oriented professional with a strong background in data annotation, linguistic tasks, and AI training data processes. With extensive experience in Swahili–English translation, transcription, and content evaluation, I have worked on projects requiring high levels of accuracy and cultural sensitivity, including academic, marketing, health, and community-focused domains. My skills include text, audio, and image annotation, prompt-based evaluation, quality assurance, and digital task execution across various remote platforms. I am committed to delivering reliable, high-quality results that contribute to the development of effective, human-centered AI systems. My adaptability, analytical mindset, and proficiency in both Kiswahili and English enable me to excel in diverse data labeling and AI training environments.

Labeling Experience

Data Labeling Specialist

Data Annotation TechImageClassificationQuestion Answering

The healthcare data labeling project involved annotating medical datasets to support the training of AI models used in healthcare applications. The work included reviewing clinical text and patient-related data to identify symptoms, diagnoses, and treatments according to established guidelines. The project covered thousands of records processed in structured batches. Strict quality measures were followed, including adherence to annotation standards, regular consistency checks, and quality reviews to ensure high accuracy and reliable datasets.

The healthcare data labeling project involved annotating medical datasets to support the training of AI models used in healthcare applications. The work included reviewing clinical text and patient-related data to identify symptoms, diagnoses, and treatments according to established guidelines. The project covered thousands of records processed in structured batches. Strict quality measures were followed, including adherence to annotation standards, regular consistency checks, and quality reviews to ensure high accuracy and reliable datasets.

2023 - 2025

Education

Work History