For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Vitalii Spiriakov

Vitalii Spiriakov

LLM Evaluation and Text Generation Specialist in English & Russian

Japan flagTokyo, Japan
$10.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Japan and Japanese language
LLM evalutayion in Russian
Image classification

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Classification
Data Collection
Emotion Recognition
Evaluation Rating
Translation Localization

Freelancer Overview

I used CrowdCompute by Google to complete various AI-related tasks, including annotating and categorizing datasets to ensure accuracy and relevance for machine learning models. I worked with image and text data. This hands-on experience sharpened my attention to detail and deepened my understanding of the importance of precise data labeling in AI development. My proficiency in multiple languages (English, Japanese, and Russian) allowed me to work on diverse datasets, adding unique value to multilingual AI projects. Additionally, my background in East Asian Studies and programming provided a solid foundation to understand cultural nuances and technical aspects, enhancing the quality and applicability of the training data. My combination of linguistic skills and technical knowledge sets me apart, making me a valuable asset in the AI training industry.

Entry LevelEnglishRussianJapanese

Labeling Experience

Russian Language LLM Evalutation

OtherTextEvaluation Rating
AI Response Evaluation and Data Labeling Scope: Participated in an AI training project using CrowdCompute by Google to evaluate and refine AI-generated responses to user prompts. The project aimed to improve the quality, accuracy, and relevance of the AI's output. Tasks Performed: - Determined the ratability of tasks based on user prompts and AI responses. - Conducted initial assessments focusing on accuracy and relevance. - Verified factual information through research. - Compared AI responses to determine the better response with reasoned explanations. This project enhanced my skills in data labeling, factual verification, and quality assessment, contributing to the improvement of AI model performance.

AI Response Evaluation and Data Labeling Scope: Participated in an AI training project using CrowdCompute by Google to evaluate and refine AI-generated responses to user prompts. The project aimed to improve the quality, accuracy, and relevance of the AI's output. Tasks Performed: - Determined the ratability of tasks based on user prompts and AI responses. - Conducted initial assessments focusing on accuracy and relevance. - Verified factual information through research. - Compared AI responses to determine the better response with reasoned explanations. This project enhanced my skills in data labeling, factual verification, and quality assessment, contributing to the improvement of AI model performance.

2024

Education

V

Volgograd State Technology University

Bachelor's Degree, Computer Science

Bachelor's Degree
2016 - 2020
H

Higher School of Economics

Bachelor's Degree, Oriental Studies

Bachelor's Degree
2010 - 2014

Work History

H

Hito Communications

Field Expert

Tokyo
2024 - Present
1

1 World Sync

Project Manager

Moscow
2017 - 2022