Alex Doe

Key Skills

Software

Labelbox

Top Subject Matter

Large Language Model Evaluation

Prompt Engineering

Russian/English Localization

Top Data Types

Text

Image

Top Task Types

Segmentation

Entity (NER) Classification

Freelancer Overview

AI Trainer (Contractor). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Unreal Engine, and Internal. Education includes Bachelor of Science, Moscow State Technical University (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

AI Trainer (Contractor)

LabelboxText

As an AI Trainer (Contractor) at Techlang AI, I evaluated and ranked LLM-generated responses in Russian and English. I created and refined prompts for language model reasoning and collaborated with a distributed team to calibrate rating criteria. My work focused on ensuring high inter-annotator agreement on sensitive content decisions while providing linguistic expertise for localization quality. • Evaluated LLM responses on helpfulness, harmlessness, and factual accuracy. • Authored, curated, and refined over 2,000 prompts per month in technology, programming, and game development. • Maintained 98% inter-annotator agreement, especially for sensitive and culturally dependent cases. • Automated annotation log conversion to structured JSONL using Python scripting.

As an AI Trainer (Contractor) at Techlang AI, I evaluated and ranked LLM-generated responses in Russian and English. I created and refined prompts for language model reasoning and collaborated with a distributed team to calibrate rating criteria. My work focused on ensuring high inter-annotator agreement on sensitive content decisions while providing linguistic expertise for localization quality. • Evaluated LLM responses on helpfulness, harmlessness, and factual accuracy. • Authored, curated, and refined over 2,000 prompts per month in technology, programming, and game development. • Maintained 98% inter-annotator agreement, especially for sensitive and culturally dependent cases. • Automated annotation log conversion to structured JSONL using Python scripting.

2023 - Present

Unreal Engine Developer & Simulation Data Specialist

ImageSegmentation

As a Simulation Data Specialist at CyberNorth, I built 3D environments for synthetic training datasets tailored to autonomous navigation AI. I automated pipelines to export annotated RGB, depth, and segmentation images using Python and Unreal Engine. My contributions included developing Blueprint systems to enhance dataset diversity and co-defining labeling schemas with ML engineers. • Generated over 15,000 annotated images through automated export workflows. • Designed randomization systems for object placement and lighting to optimize dataset variability. • Collaborated on labeling schemes optimizing for object detection and semantic segmentation accuracy. • Used Unreal Engine's Python API to streamline synthetic data generation for computer vision.

As a Simulation Data Specialist at CyberNorth, I built 3D environments for synthetic training datasets tailored to autonomous navigation AI. I automated pipelines to export annotated RGB, depth, and segmentation images using Python and Unreal Engine. My contributions included developing Blueprint systems to enhance dataset diversity and co-defining labeling schemas with ML engineers. • Generated over 15,000 annotated images through automated export workflows. • Designed randomization systems for object placement and lighting to optimize dataset variability. • Collaborated on labeling schemes optimizing for object detection and semantic segmentation accuracy. • Used Unreal Engine's Python API to streamline synthetic data generation for computer vision.

2020 - 2023

Python Developer / Data Annotator

TextEntity Ner Classification

As a freelance Python Developer and Data Annotator, I scraped, cleaned, and structured extensive textual corpora from Russian-language tech forums and documentation. I built a custom annotation tool to label sentiment and entities in game review texts, delivering weekly quality reports to clients. My work ensured high-quality, fine-grained textual datasets for downstream machine learning and NLP projects. • Processed over 10 GB of technical text data using automated scraping and cleaning pipelines. • Developed and deployed an internal Flask-based tool for annotation workflow management. • Performed sentiment and named entity labeling on diverse Russian tech content. • Regularly reported on data quality and annotation progress to international clients.

As a freelance Python Developer and Data Annotator, I scraped, cleaned, and structured extensive textual corpora from Russian-language tech forums and documentation. I built a custom annotation tool to label sentiment and entities in game review texts, delivering weekly quality reports to clients. My work ensured high-quality, fine-grained textual datasets for downstream machine learning and NLP projects. • Processed over 10 GB of technical text data using automated scraping and cleaning pipelines. • Developed and deployed an internal Flask-based tool for annotation workflow management. • Performed sentiment and named entity labeling on diverse Russian tech content. • Regularly reported on data quality and annotation progress to international clients.

2019 - 2020

Education

Work History