James Nderitu Wanjohi

Key Skills

Software

CVAT

SuperAnnotate

Appen

Labelbox

Dataloop

Top Subject Matter

Industrial Imagery

Refinery Data

General Computer Vision

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Object Detection

Classification

Polygon

Segmentation

Text Generation

Question Answering

Text Summarization

RLHF

Transcription

Prompt Response Writing SFT

Evaluation Rating

Freelancer Overview

Image Annotation Quality Control Specialist (Freelance). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2024). AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Object Detection, and Classification.

Labeling Experience

Image Annotation Quality Control Specialist (Freelance)

CVATImageBounding Box

Reviewed and corrected auto-annotated frames for a refinery dataset utilizing CVAT. Ensured that annotations met high standards of accuracy and consistency. Focused on bounding box refinement and classification for over 8,000 industrial images. • Identified and corrected missing, inconsistent, or inaccurate annotations • Maintained dataset quality under tight deadlines and milestones • Improved dataset reliability for training computer vision models • Performed detailed industrial visual data analysis

Reviewed and corrected auto-annotated frames for a refinery dataset utilizing CVAT. Ensured that annotations met high standards of accuracy and consistency. Focused on bounding box refinement and classification for over 8,000 industrial images. • Identified and corrected missing, inconsistent, or inaccurate annotations • Maintained dataset quality under tight deadlines and milestones • Improved dataset reliability for training computer vision models • Performed detailed industrial visual data analysis

2026 - Present

AI Data Annotator & Labeling Specialist

CVATImageObject Detection

Annotated large-scale computer vision image datasets for machine learning models. Carried out object detection, classification, and segmentation labeling with high accuracy. Collaborated with AI engineers to enhance labeling workflows and quality. • Ensured consistency across thousands of labeled images • Increased project-wide annotation accuracy by identifying errors • Helped refine annotation guidelines in a remote setting • Worked on datasets to improve model performance

Annotated large-scale computer vision image datasets for machine learning models. Carried out object detection, classification, and segmentation labeling with high accuracy. Collaborated with AI engineers to enhance labeling workflows and quality. • Ensured consistency across thousands of labeled images • Increased project-wide annotation accuracy by identifying errors • Helped refine annotation guidelines in a remote setting • Worked on datasets to improve model performance

2025 - 2026

Machine Learning Data Assistant (Internship)

CVATImageClassification

Prepared and cleaned image datasets to support machine learning experiments. Validated and structured labeled outputs to optimize AI model training quality. Supported testing of computer vision models by verifying annotation correctness. • Cleaned datasets for improved training efficiency • Structured and validated data before model input • Documented labeling and workflow procedures • Contributed to data process improvements

Prepared and cleaned image datasets to support machine learning experiments. Validated and structured labeled outputs to optimize AI model training quality. Supported testing of computer vision models by verifying annotation correctness. • Cleaned datasets for improved training efficiency • Structured and validated data before model input • Documented labeling and workflow procedures • Contributed to data process improvements

2024 - 2024

Education

Work History