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Diana Yevsieieva

Diana Yevsieieva

AI Content Tutor & Data Annotator

Poland flagWroclaw, Poland
$15.00/hrEntry LevelLabelboxScale AILabelimg

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
LabelImgLabelImg
CVATCVAT

Top Subject Matter

AI Model Linguistic Evaluation and Localization
Finance – Risk Analysis & Fraud Detection
E-commerce – Product Categorization & Customer Support

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
RLHFRLHF
Text GenerationText Generation
Question AnsweringQuestion Answering

Freelancer Overview

Junior QA & AI Data Trainer. Focus on LLM feedback, text classification & sentiment analysis. Native Ukrainian, B2 English. High accuracy & discipline.

Entry LevelEnglishUkrainianPolish

Labeling Experience

LLM Response Evaluation and Text Classification

TextRLHF
As a Junior Data Contributor, I provided human-in-the-loop feedback for AI language models. My responsibilities included evaluating and rating text responses for logical flow and accuracy and contributing to quality assurance workflows for LLM training. I focused on delivering detailed and high-quality human feedback to support model improvement projects. • Performed text classification and sentiment analysis on AI-generated outputs. • Labeled textual data according to project guidelines for localization and language tasks. • Used Google Workspace and internal/proprietary tools to document and track annotation progress. • Ensured metadata accuracy and linguistic consistency across labeled datasets.

As a Junior Data Contributor, I provided human-in-the-loop feedback for AI language models. My responsibilities included evaluating and rating text responses for logical flow and accuracy and contributing to quality assurance workflows for LLM training. I focused on delivering detailed and high-quality human feedback to support model improvement projects. • Performed text classification and sentiment analysis on AI-generated outputs. • Labeled textual data according to project guidelines for localization and language tasks. • Used Google Workspace and internal/proprietary tools to document and track annotation progress. • Ensured metadata accuracy and linguistic consistency across labeled datasets.

2025 - Present

Education

O

Online Learning Platform

Professional Certificate in QA Testing and AI Data Training, Computer Science & Quality Assurance

Professional Certificate in QA Testing and AI Data Training
2025 - 2025

Work History

A

Amazon Fulfillment

Warehouse Associate

Wroclaw
2024 - 2025