James S.

Key Skills

Software

Labelbox

Supervisely

Top Subject Matter

Remote administrative/digital records supporting AI dataset preparation and classification validation

Multi-modal AI dataset labeling (image/video/audio/text) and annotation quality checks

Machine learning/computer vision/NLP dataset annotation

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Object Detection

Action Recognition

Freelancer Overview

Data Entry & Quality Review Assistant (Remote Administrative / Digital Records Projects). Core strengths include Labelbox and Supervisely. Education includes Master’s Degree in Economics, University of Nairobi (2024) and Bachelor’s Degree in Economics and Mathematics, Kenyatta University (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Object Detection, and Action Recognition.

Labeling Experience

AI Training Specialist / Data Annotation Specialist (Freelance / Remote AI Data Projects)

SuperviselyImageAction Recognition

Labeled and annotated datasets for machine learning, computer vision, and natural language processing projects. Performed text classification and structured data entry using project-specific guidelines. Annotated images with bounding boxes, polygons, points, and key points for detection and recognition tasks. • Supported video annotation including object tracking, frame-by-frame labeling, and action recognition. • Reviewed audio files for transcription accuracy, speaker labeling, timestamps, and quality consistency. • Maintained dataset quality by checking labels against annotation rules and exporting in CSV/JSON plus COCO and Pascal VOC formats. • Organized datasets with metadata and spreadsheet tracking while completing remote assignments confidentially and on deadline.

2023 - Present

Data Labeling Associate (Remote Data Annotation Projects, Contract)

LabelboxImageObject Detection

Completed image, video, audio, and text labeling tasks for AI model training projects under client instructions. Classified text records, short descriptions, and digital entries according to labeling rules. Tagged objects in images and video frames using bounding boxes, points, and segmentation tools. • Assisted dataset cleaning by identifying duplicate, incomplete, or incorrectly labeled records. • Reviewed annotations for consistency, spelling accuracy, category alignment, and project compliance. • Supported video-based tracking and action recognition workflows for dataset labeling. • Entered, updated, and maintained digital records in spreadsheets and annotation dashboards.

2022 - 2023

Data Entry & Quality Review Assistant (Remote Administrative / Digital Records Projects)

LabelboxTextEntity (NER) Classification

Entered, updated, and verified digital information in online databases, spreadsheets, and project systems. Checked records for accuracy, missing fields, formatting errors, and duplicate entries. Organized data using spreadsheets, folders, naming systems, and simple reporting templates for remote quality control. • Verified classification-related records by sorting information into correct categories. • Reviewed flagged items to ensure data consistency with project rules. • Maintained clean and consistent records for remote supervisors and project teams. • Ensured confidentiality, typing accuracy, and deadline management for dataset readiness.

2021 - 2022

Education