Marvin B.

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

Computer Vision and Speech Recognition (AI Training Datasets)

Computer Vision and Multimodal (Image/Video/Audio) AI Training Data

E-commerce product categorization & Education in Ai management

Top Data Types

Image

Video

Audio

Top Task Types

Classification

Bounding Box

Segmentation

Tracking

Transcription

Object Detection

Freelancer Overview

Data Labeling Associate — Digital AI Labs. Core strengths include YOLO, CVAT, and Labelbox. Education includes Bachelor of Science, University of Nairobi (2021) and Kenya Certificate of Secondary Education, Nairobi School (2016). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Classification, Bounding Box, and Segmentation.

Labeling Experience

AI Image & Video Annotation Specialist for Object Detection Project

VideoPoint/Key Point

Project involved large-scale video annotation and object tracking for AI and computer vision model training. Responsibilities included labeling moving objects across video frames, creating bounding boxes, tracking object movement, and ensuring annotation consistency throughout long video sequences. Worked with surveillance, traffic monitoring, and real-world activity datasets to support machine learning and deep learning models used for object detection and motion analysis. Maintained high-quality annotation standards by following strict QA guidelines and reviewing labeled data for accuracy and consistency.

2024 - Present

AI Data Annotation Specialist — SmartVision AI Solutions

LabelboxImageObject DetectionTracking

Annotated image, video, and audio datasets for AI and machine learning projects supporting computer vision and related modeling needs. Completed object detection, tracking, segmentation, and classification labeling while preparing datasets for model training. Performed quality assurance checks to maintain labeling accuracy above project standards and collaborated to improve consistency. • Object detection, tracking, segmentation, and classification annotations • Dataset preparation for computer vision model training • QA review to ensure accuracy and guideline compliance • Collaboration with AI engineers and PMs to improve consistency

2023 - Present

AI Audio Annotation & Speech Recognition Project

AudioTranscription

Worked on large-scale audio annotation and transcription projects for AI training and speech recognition systems. Responsibilities included transcribing spoken audio, labeling voice recordings, identifying speakers, classifying sounds, and segmenting audio clips for machine learning and NLP model development. Handled datasets containing conversations, voice recordings, environmental sounds, and multilingual speech samples. Maintained high annotation accuracy and consistency by following strict project guidelines and quality assurance procedures. Collaborated with AI teams to improve speech recognition performance and dataset quality.

2023 - 2024

AI Image & Video Annotation Specialist for Object Detection Project

ImageClassification

Worked on large-scale AI training datasets involving image and video annotation for computer vision and object detection models. Performed accurate bounding box annotations, object tracking, semantic segmentation, and image classification tasks using tools such as Labelbox, CVAT, and YOLO workflows. Handled datasets containing thousands of images and video frames for surveillance and smart monitoring systems. Maintained high annotation accuracy and consistency by following strict quality assurance guidelines and project instructions. Collaborated with AI engineers and project managers to improve training dataset quality and optimize model performance.

2023 - 2024

Data Labeling Associate — Digital AI Labs

ImageClassificationBounding Box

Labeled and annotated datasets for computer vision and speech recognition systems to support AI model training. Performed object tracking workflows and assisted with YOLO dataset preparation while applying image classification, bounding box, and segmentation annotations. Supported audio transcription and annotation to provide labeled audio data for training. • Image classification and bounding box annotation • Polygon/semantic segmentation and object tracking support • Audio transcription and audio annotation for speech models • Maintained annotation guidelines and delivered on deadlines

2021 - 2023

Education

Work History