Key Skills

Software

Labelbox

Toloka

CVAT

Supervisely

V7 Labs

Top Subject Matter

Machine Learning Data

Computer Vision

Speech AI

Top Data Types

Image

Video

Audio

Top Task Types

Object Detection

Segmentation

Classification

Transcription

Bounding Box

Polygon

Freelancer Overview

AI Training Specialist. Core strengths include Labelbox, Toloka, and CVAT. Education includes Bachelor of Science, N/A (2022) and High School Diploma, N/A (2019). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Object Detection, Segmentation, and Classification.

Labeling Experience

AI Training Specialist

LabelboxImageObject DetectionSegmentation

As an AI Training Specialist, I am responsible for annotating and labeling datasets for AI models, including images, videos, and audio files. I perform object detection, segmentation, classification, and audio transcription tasks with high attention to detail and data quality. My work supports the development and training of advanced machine learning models across multiple data types. • Collaborate with QA teams to ensure data accuracy and consistency • Utilize industry-standard annotation platforms such as Labelbox, Toloka, CVAT, Supervisely, and V7 Darwin • Conduct speech labeling and transcription for audio datasets • Help improve annotation guidelines and workflows as needed

As an AI Training Specialist, I am responsible for annotating and labeling datasets for AI models, including images, videos, and audio files. I perform object detection, segmentation, classification, and audio transcription tasks with high attention to detail and data quality. My work supports the development and training of advanced machine learning models across multiple data types. • Collaborate with QA teams to ensure data accuracy and consistency • Utilize industry-standard annotation platforms such as Labelbox, Toloka, CVAT, Supervisely, and V7 Darwin • Conduct speech labeling and transcription for audio datasets • Help improve annotation guidelines and workflows as needed

2023 - Present

Junior Data Annotator

LabelboxImageBounding BoxPolygon

As a Junior Data Annotator, I was tasked with labeling image and video datasets for computer vision projects and applied bounding box and polygon annotations to objects. My responsibilities included reviewing and correcting annotation errors to maintain high-quality labeled data. I consistently followed strict annotation guidelines to ensure project requirements were met. • Used annotation platforms such as Labelbox, CVAT, Supervisely, and V7 Labs • Checked annotations for accuracy and corrected inconsistencies • Collaborated remotely within the data labeling team • Supported classification tasks as directed by project leads

As a Junior Data Annotator, I was tasked with labeling image and video datasets for computer vision projects and applied bounding box and polygon annotations to objects. My responsibilities included reviewing and correcting annotation errors to maintain high-quality labeled data. I consistently followed strict annotation guidelines to ensure project requirements were met. • Used annotation platforms such as Labelbox, CVAT, Supervisely, and V7 Labs • Checked annotations for accuracy and corrected inconsistencies • Collaborated remotely within the data labeling team • Supported classification tasks as directed by project leads

2022 - 2023

Data Labeling Assistant (Intern)

LabelboxImageBounding BoxClassification

As a Data Labeling Assistant (Intern), I supported dataset preparation and labeling workflows for various machine learning projects. This role provided me with hands-on experience using annotation tools and maintaining workflow quality. My contributions also included basic quality assurance checks across labeled output. • Assisted professional annotators with labeling tasks and guidelines • Gained experience with tools such as Labelbox, CVAT, and Supervisely • Performed basic reviews to ensure compliance with annotation standards • Helped document labeling workflow processes for future reference

As a Data Labeling Assistant (Intern), I supported dataset preparation and labeling workflows for various machine learning projects. This role provided me with hands-on experience using annotation tools and maintaining workflow quality. My contributions also included basic quality assurance checks across labeled output. • Assisted professional annotators with labeling tasks and guidelines • Gained experience with tools such as Labelbox, CVAT, and Supervisely • Performed basic reviews to ensure compliance with annotation standards • Helped document labeling workflow processes for future reference

2021 - 2022

Education

Work History