Samuel M.

Key Skills

Software

Labelbox

Other

Top Subject Matter

Computer vision and NLP datasets for ML/AI.

NLP text datasets for machine learning applications.

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity (NER) Classification

Freelancer Overview

Data Labeling Specialist at AI Data Solutions Ltd.. Core strengths include Labelbox and Other. Education includes Bachelor of Science, University of Nairobi (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Data Labeling Specialist at AI Data Solutions Ltd.

LabelboxImageBounding Box

Annotated image, text, and video datasets according to project guidelines, including creating bounding boxes and segmentation-related outputs. Reviewed and validated labeled data to ensure quality standards, and performed QA checks to identify annotation inconsistencies. Collaborated with project stakeholders while maintaining documentation of labeling procedures and updates. • Created accurate bounding boxes for object detection workflows. • Produced/validated segmentation masks and object classifications for computer vision models. • Conducted quality assurance and data validation prior to submission. • Maintained detailed documentation and supported guideline adherence improvements.

2024 - 2026

Data Annotation Associate at Digital Data Services Ltd.

OtherTextEntity (NER) Classification

Labeled and categorized large datasets for machine learning applications, with a focus on text classification and sentiment tagging. Verified and detected errors before final submissions to support consistent dataset quality. Assisted in developing annotation guidelines and worked toward daily and weekly production targets. • Performed text classification, sentiment tagging, and content categorization. • Conducted data verification and error detection prior to submission. • Supported creation and refinement of annotation guidelines for new projects. • Collaborated with team members to meet production targets while maintaining data integrity.

2023 - 2024

Education

Work History