Moses Mduma

Key Skills

Software

Labelbox

Doccano

Supervisely

CVAT

Top Subject Matter

Computer Vision

Speech Recognition

Machine Learning Training

Top Data Types

Image

Audio

Video

Text

Document

Top Task Types

Bounding Box

Transcription

Classification

Object Detection

Freelancer Overview

AI Training Specialist. Core strengths include Labelbox, Doccano, and Supervisely. Education includes Bachelor of Science, Sebastian Kolowa Memorial University (2021) and Advanced Certificate of Secondary Education, Mwanza Secondary (2018). AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Bounding Box, Transcription, and Classification.

Labeling Experience

AI Training Specialist

DoccanoAudioTranscription

In this role, I also performed transcription and labeling of audio datasets for speech recognition models. I utilized Doccano and Audacity to ensure clear and consistent audio data labeling for AI training. My responsibilities included reviewing and validating annotated audio to maintain high accuracy standards. • Transcribed and labeled audio files for voice model development • Used Doccano and Audacity for audio annotation • Maintained data consistency and labeling integrity • Collaborated with teams to accomplish project goals

In this role, I also performed transcription and labeling of audio datasets for speech recognition models. I utilized Doccano and Audacity to ensure clear and consistent audio data labeling for AI training. My responsibilities included reviewing and validating annotated audio to maintain high accuracy standards. • Transcribed and labeled audio files for voice model development • Used Doccano and Audacity for audio annotation • Maintained data consistency and labeling integrity • Collaborated with teams to accomplish project goals

2023 - Present

AI Training Specialist

LabelboxImageBounding Box

As an AI Training Specialist, I labeled and annotated diverse datasets to improve AI model accuracy and performance. My primary tasks included performing image annotation with bounding boxes and polygons, conducting quality assurance, and managing complex workflows using project tracking tools. I also collaborated with teams for timely and accurate data delivery. • Labeled and validated image data for computer vision models • Used advanced annotation tools like Labelbox and CVAT • Ensured accuracy through rigorous review processes • Delivered high-quality annotated datasets within deadlines

As an AI Training Specialist, I labeled and annotated diverse datasets to improve AI model accuracy and performance. My primary tasks included performing image annotation with bounding boxes and polygons, conducting quality assurance, and managing complex workflows using project tracking tools. I also collaborated with teams for timely and accurate data delivery. • Labeled and validated image data for computer vision models • Used advanced annotation tools like Labelbox and CVAT • Ensured accuracy through rigorous review processes • Delivered high-quality annotated datasets within deadlines

2023 - Present

AI Data Labeling & Annotation Specialist – Multi-Modal Dataset Project

VideoClassification

Worked on large-scale multi-modal data labeling projects supporting the development of computer vision and speech recognition models. Annotated thousands of images and video frames using bounding boxes, polygon segmentation, and classification techniques to identify objects, human activities, and environmental features. Performed audio data labeling including transcription, speaker identification, and sound classification for AI voice systems. Ensured high annotation accuracy by following strict labeling guidelines and conducting quality assurance checks before submission. Utilized industry-standard annotation tools and tracking systems to manage workflow, meet deadlines, and maintain consistency across datasets. Collaborated with distributed teams to improve labeling efficiency and model training outcomes.

Worked on large-scale multi-modal data labeling projects supporting the development of computer vision and speech recognition models. Annotated thousands of images and video frames using bounding boxes, polygon segmentation, and classification techniques to identify objects, human activities, and environmental features. Performed audio data labeling including transcription, speaker identification, and sound classification for AI voice systems. Ensured high annotation accuracy by following strict labeling guidelines and conducting quality assurance checks before submission. Utilized industry-standard annotation tools and tracking systems to manage workflow, meet deadlines, and maintain consistency across datasets. Collaborated with distributed teams to improve labeling efficiency and model training outcomes.

2023 - 2025

AI Data Labeling & Annotation Specialist – Multi-Modal Dataset Project

ImageSegmentation

Worked on large-scale multi-modal data labeling projects supporting the development of computer vision and speech recognition models. Annotated thousands of images and video frames using bounding boxes, polygon segmentation, and classification techniques to identify objects, human activities, and environmental features. Performed audio data labeling including transcription, speaker identification, and sound classification for AI voice systems. Ensured high annotation accuracy by following strict labeling guidelines and conducting quality assurance checks before submission. Utilized industry-standard annotation tools and tracking systems to manage workflow, meet deadlines, and maintain consistency across datasets. Collaborated with distributed teams to improve labeling efficiency and model training outcomes.

Worked on large-scale multi-modal data labeling projects supporting the development of computer vision and speech recognition models. Annotated thousands of images and video frames using bounding boxes, polygon segmentation, and classification techniques to identify objects, human activities, and environmental features. Performed audio data labeling including transcription, speaker identification, and sound classification for AI voice systems. Ensured high annotation accuracy by following strict labeling guidelines and conducting quality assurance checks before submission. Utilized industry-standard annotation tools and tracking systems to manage workflow, meet deadlines, and maintain consistency across datasets. Collaborated with distributed teams to improve labeling efficiency and model training outcomes.

2023 - 2025

Data Annotator

CVATVideoObject Detection

During this period, I annotated video datasets to enhance object detection capabilities in machine learning systems. I applied segmentation and object tracking techniques using annotation software and adhered to project requirements. My attention to detail helped maintain high-quality, reliable datasets. • Annotated and segmented video data for object detection • Used CVAT and Supervisely for video annotation • Focused on accuracy and precision in labeling • Contributed to project reporting and tracking

During this period, I annotated video datasets to enhance object detection capabilities in machine learning systems. I applied segmentation and object tracking techniques using annotation software and adhered to project requirements. My attention to detail helped maintain high-quality, reliable datasets. • Annotated and segmented video data for object detection • Used CVAT and Supervisely for video annotation • Focused on accuracy and precision in labeling • Contributed to project reporting and tracking

2022 - 2023

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Education

Work History