Kapr Idriss Conteh

Key Skills

Software

CVAT

Dataloop

Labelbox

LightTag

Roboflow

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Data Collection

Entity Ner Classification

Object Detection

Segmentation

Freelancer Overview

With over 5 years of hands-on experience in IT systems administration and technical support, I bring a strong foundation in managing, maintaining, and securing large volumes of digital assets and user accounts. My background has equipped me with meticulous attention to detail, especially in asset management, process documentation, and the deployment and configuration of endpoint devices across distributed environments. I am adept at leveraging tools such as Systems Administration, Office365, Active Directory, SOTI Connect and more for device and data management, ensuring data integrity and consistent workflows. My experience leading onboarding and offboarding projects, as well as coordinating large-scale OS and hardware upgrade initiatives, has honed my ability to follow strict protocols and quality standards—skills directly transferable to data labelling and AI training data roles. I'm passionate about supporting high-quality data pipelines and I'm eager to apply my technical expertise and process-driven mindset to contribute to accurate and efficient data annotation for AI and machine learning projects.

Labeling Experience

Autonomous Vehicle Object Detection Dataset Labeling

LabelboxImageBounding BoxObject Detection

I worked as a data annotator on a large-scale computer vision project focused on training perception models for autonomous vehicles. My responsibilities included labelling traffic elements such as vehicles, pedestrians, road signs, and lane markings using precise bounding boxes and segmentation masks. I maintained high accuracy by following strict annotation guidelines and performing quality checks through cross-validation. My annotations contributed to model improvements in object detection accuracy and environmental awareness in real-world driving conditions.

I worked as a data annotator on a large-scale computer vision project focused on training perception models for autonomous vehicles. My responsibilities included labelling traffic elements such as vehicles, pedestrians, road signs, and lane markings using precise bounding boxes and segmentation masks. I maintained high accuracy by following strict annotation guidelines and performing quality checks through cross-validation. My annotations contributed to model improvements in object detection accuracy and environmental awareness in real-world driving conditions.

2024 - 2025

Education

Work History