Stephen M.

Key Skills

Software

Clickworker

Appen

Top Subject Matter

AI/ML computer vision

multilingual content (English & Swahili)

AI/ML NLP

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Classification

Audio Recording

Freelancer Overview

Data Labeling Specialist – Remote / Freelance (Image bounding, multilingual project work). Core strengths include N and A. Education includes Kenya Certificate of Secondary Education (KCSE), N/A. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Classification, and Audio Recording.

Labeling Experience

Data Labeling Specialist – Remote / Freelance (Audio tagging)

AudioAudio Recording

Performed audio tagging for machine learning datasets focused on speech and audio understanding. Followed provided annotation standards to label audio segments accurately. Verified annotation quality by checking outputs for consistency and correcting any detected errors. • Audio tagging and categorization • Adherence to project labeling guidelines • Quality verification and error correction • Responsible handling of sensitive audio datasets

2024 - Present

Data Labeling Specialist – Remote / Freelance (Text classification and sentiment labeling)

TextClassification

Labeled and categorized text data for AI/ML applications, including classification and sentiment-related labeling. Applied strict guidelines to maintain consistency across multilingual content. Conducted review steps to verify annotation accuracy and correct inconsistencies. • Text classification labeling • Sentiment labeling • Multilingual data handling (English and Swahili) • Data quality control via verification and corrections

2024 - Present

Data Labeling Specialist – Remote / Freelance (Image bounding, multilingual project work)

ImageBounding Box

Labeled large AI/ML datasets by creating image bounding annotations for computer vision use cases. Ensured each image label followed the provided guidelines and project instructions. Performed quality checks by verifying annotation accuracy and correcting inconsistencies. • Image bounding annotation and categorization • Verification of label accuracy against guidelines • Correction of inconsistent or incorrect annotations • Quality assurance and confidentiality handling

2024 - Present

Education

Work History