Egor L.

Key Skills

Software

Other

Top Subject Matter

AI output evaluation and text labeling

Mathematics tutoring and educational feedback

Top Data Types

Text

Image

Audio

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Object Detection

Text Generation

Freelancer Overview

I have experience training and evaluating AI models through my work as a Data Annotator at Outlier AI, where I reviewed over 1,000 AI-generated responses for correctness, clarity, relevance, and adherence to project guidelines. I regularly identified errors, inconsistencies, and edge cases, provided detailed feedback to improve model performance, and applied rigorous quality-control standards when labeling and categorizing data. My work required strong analytical reasoning, attention to detail, and the ability to consistently apply complex evaluation criteria across large volumes of training data. In addition to AI training experience, I bring a strong quantitative background as a Boston University student pursuing degrees in Applied Mathematics and Finance. My experience as a Data Analyst Intern involved reviewing large datasets, generating reports, and using Python to improve data-processing efficiency, while my work as a co-author and educator strengthened my ability to evaluate information for accuracy, logic, and clarity. This combination of AI evaluation, data analysis, technical problem-solving, and written communication allows me to contribute high-quality training data and feedback that improve the performance and reliability of AI systems.

Labeling Experience

Data Annotator, Outlier AI (Remote)

AudioTranscription

Reviewed 1000+ AI-generated outputs for correctness, clarity, relevance, and adherence to project guidelines. Identified errors, inconsistencies, and edge cases in model responses and provided detailed feedback for improvement. Applied analytical reasoning to compare multiple AI responses and select the most accurate and helpful result. Performed quality assurance-style checks across model outputs. Labeled/categorized information according to project instructions. Verified data quality with attention to edge cases. Supplied actionable feedback to support model improvements.

2025 - Present

Data Annotator, Outlier AI (Remote)

TextText Summarization

Reviewed 1000+ AI-generated outputs for correctness, clarity, relevance, and adherence to project guidelines. Identified errors, inconsistencies, and edge cases in model responses and provided detailed feedback for improvement. Applied analytical reasoning to compare multiple AI responses and select the most accurate and helpful result. Performed quality assurance-style checks across model outputs. Labeled/categorized information according to project instructions. Verified data quality with attention to edge cases. Supplied actionable feedback to support model improvements.

2025 - Present

Data Annotator, Outlier AI (Remote)

ImageObject Detection

Reviewed 1000+ AI-generated outputs for correctness, clarity, relevance, and adherence to project guidelines. Identified errors, inconsistencies, and edge cases in model responses and provided detailed feedback for improvement. Applied analytical reasoning to compare multiple AI responses and select the most accurate and helpful result. Performed quality assurance-style checks across model outputs. Labeled/categorized information according to project instructions. Verified data quality with attention to edge cases. Supplied actionable feedback to support model improvements.

2025 - Present

Data Annotator, Outlier AI (Remote)

ImageClassification

Reviewed 1000+ AI-generated outputs for correctness, clarity, relevance, and adherence to project guidelines. Identified errors, inconsistencies, and edge cases in model responses and provided detailed feedback for improvement. Applied analytical reasoning to compare multiple AI responses and select the most accurate and helpful result. Performed quality assurance-style checks across model outputs. Labeled/categorized information according to project instructions. Verified data quality with attention to edge cases. Supplied actionable feedback to support model improvements.

2025 - Present

Data Annotator, Outlier AI (Remote)

ImagePolygon

Reviewed 1000+ AI-generated outputs for correctness, clarity, relevance, and adherence to project guidelines. Identified errors, inconsistencies, and edge cases in model responses and provided detailed feedback for improvement. Applied analytical reasoning to compare multiple AI responses and select the most accurate and helpful result. Performed quality assurance-style checks across model outputs. Labeled/categorized information according to project instructions. Verified data quality with attention to edge cases. Supplied actionable feedback to support model improvements.

2025 - Present

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Education

Work History