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Ruslan Kurbanov

Ruslan Kurbanov

Bilingual AI Training Data Specialist

Canada flagEdmonton, Canada
$18.00/hrIntermediateLabel StudioCVATRemotasks

Key Skills

Software

Label StudioLabel Studio
CVATCVAT
RemotasksRemotasks
AppenAppen
TolokaToloka

Top Subject Matter

Technology, AI Training & Natural Language Processing
Computer Vision, Image Annotation & Object Detection
Software, Data Quality & Content Evaluation

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

ClassificationClassification
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Object DetectionObject Detection
Computer Programming/CodingComputer Programming/Coding
Bounding BoxBounding Box

Freelancer Overview

I have 1+ years of experience with AI training data and data labeling tasks, including text categorization, response evaluation, image annotation, and quality review. My work has focused on following detailed labeling guidelines, identifying edge cases, maintaining consistency across large datasets, and improving the quality of data used for machine learning models. My background in Computer Engineering and research gives me a strong technical foundation for understanding AI workflows, data quality, and model evaluation. I am comfortable working with structured guidelines, reviewing ambiguous examples, writing clear justifications, and using tools such as Python, spreadsheets, and annotation platforms to support accurate and reliable labeling work.

IntermediateEnglishRussian

Labeling Experience

Image Annotation for Object Detection and Scene Understanding

ImageObject Detection
Annotated image datasets for computer vision tasks by identifying objects, assigning correct categories, and marking object locations using bounding boxes. The project included labeling common objects in different scenes, reviewing unclear or partially visible objects, and making consistent decisions when objects were occluded, small, blurry, or difficult to classify.

Annotated image datasets for computer vision tasks by identifying objects, assigning correct categories, and marking object locations using bounding boxes. The project included labeling common objects in different scenes, reviewing unclear or partially visible objects, and making consistent decisions when objects were occluded, small, blurry, or difficult to classify.

2025 - 2026

Text Categorization and AI Response Evaluation

TextClassification
Worked on text-based AI training tasks involving prompt classification, response evaluation, and quality rating. Labeled user prompts by intent, topic, and complexity, and reviewed AI-generated responses for helpfulness, accuracy, clarity, relevance, and instruction-following. Followed detailed project guidelines and handled edge cases where prompts or responses were ambiguous.

Worked on text-based AI training tasks involving prompt classification, response evaluation, and quality rating. Labeled user prompts by intent, topic, and complexity, and reviewed AI-generated responses for helpfulness, accuracy, clarity, relevance, and instruction-following. Followed detailed project guidelines and handled edge cases where prompts or responses were ambiguous.

2025 - 2025

Education

U

University of Alberta

Bachelor of Science, Computer Engineering

Bachelor of Science
2024 - 2027

Work History

A

AlbertaSat

Software Team Member

Edmonton
2026 - Present
U

University of Alberta

Undergraduate Research Assistant

Edmonton
2026 - 2026