Kevin Ledada

Key Skills

Software

CVAT

Appen

Clickworker

Dataloop

OneForma

Remotasks

Scale AI

Supervisely

SuperAnnotate

Toloka

Telus

Top Subject Matter

AI Training Data (Internal/Propriety Tooling)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Polyline

Cuboid

Object Detection

Question Answering

Transcription

Data Collection

Freelancer Overview

AI Data Annotation Trainer – LISH AI Labs. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Labelbox. Education includes Kenya Certificate of Secondary Education, Solai Boys High School (2016) and Kenya Certificate of Primary Education, St. Joseph’s Primary School (2012). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Data Annotation Trainer – LISH AI Labs

CVATImageBounding Box

As an AI Data Annotation Trainer at LISH AI Labs, I facilitated comprehensive training programs focused on data annotation techniques and quality assurance processes. I guided and mentored trainees in performing image annotation, segmentation, bounding box labeling, and dataset validation in alignment with strict project guidelines. I played a critical role in enhancing annotation accuracy and workflow efficiency across multiple training cohorts. • Conducted annotation tool and workflow training sessions. • Supervised quality control, error correction, and dataset evaluation processes. • Led annotation performance reviews and feedback cycles. • Enabled trainees to independently conduct QA and dataset validation.

As an AI Data Annotation Trainer at LISH AI Labs, I facilitated comprehensive training programs focused on data annotation techniques and quality assurance processes. I guided and mentored trainees in performing image annotation, segmentation, bounding box labeling, and dataset validation in alignment with strict project guidelines. I played a critical role in enhancing annotation accuracy and workflow efficiency across multiple training cohorts. • Conducted annotation tool and workflow training sessions. • Supervised quality control, error correction, and dataset evaluation processes. • Led annotation performance reviews and feedback cycles. • Enabled trainees to independently conduct QA and dataset validation.

2023 - Present

Data Annotator – LISH AI Labs

LabelboxImageBounding Box

At LISH AI Labs, I performed detailed annotation and review of datasets used for machine learning, including image, text, and 3D formats. My core activities involved segmentation, bounding box labeling, object detection, and applying QA checks for accuracy and compliance. I also provided critical feedback to AI developers to help improve models and data workflows. • Executed semantic segmentation and object detection annotations. • Reviewed and validated large-scale datasets for AI training. • Implemented corrections to reduce annotation errors and improve quality. • Used annotation platforms to manage and deliver labeled data.

At LISH AI Labs, I performed detailed annotation and review of datasets used for machine learning, including image, text, and 3D formats. My core activities involved segmentation, bounding box labeling, object detection, and applying QA checks for accuracy and compliance. I also provided critical feedback to AI developers to help improve models and data workflows. • Executed semantic segmentation and object detection annotations. • Reviewed and validated large-scale datasets for AI training. • Implemented corrections to reduce annotation errors and improve quality. • Used annotation platforms to manage and deliver labeled data.

2022 - Present

Education

Work History