Francis M.

Key Skills

Software

Labelbox

Top Subject Matter

AI training dataset annotation and evaluation

Computer vision dataset annotation

Computer vision dataset labeling

Top Data Types

Text

Image

Document

Top Task Types

Classification

Action Recognition

Transcription

Freelancer Overview

AI Data Annotation Specialist (Alignerr). Core strengths include Internal, Proprietary Tooling, and Labelbox. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (JKUAT). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Annotation Specialist

LabelboxImage

No description provided.

2025 - Present

AI Data Annotation Specialist (Alignerr)

TextClassification

Served as an AI data annotation specialist supporting machine learning training through annotation and quality checks. Evaluated AI-generated responses against provided quality guidelines to ensure they met expected standards. Performed reviews of completed annotations to confirm accuracy, consistency, and guideline compliance. • Annotated text datasets for AI training projects • Assessed response quality using annotation guidelines • Conducted accuracy and consistency reviews • Supported high-quality dataset preparation for model improvement

2025 - Present

AI Training and Data Labeling Associate

LabelboxImage

No description provided.

2024 - 2025

AI Training and Data Labeling Associate (Invisible AI)

ImageClassificationAction Recognition

Worked as an AI training and data labeling associate preparing computer vision datasets for machine learning use. Labeled image datasets according to provided annotation guidelines to support model development. Performed verification and quality checks to ensure the resulting dataset met required standards. • Labeled image datasets for computer vision models • Applied annotation guidelines for dataset preparation • Reviewed labeled data to verify quality • Prepared high-quality training inputs for model improvement

2024 - 2025

Education

Work History