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Marta Dorozhovets

Marta Dorozhovets

Key Skills

Software

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Top Subject Matter

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Top Data Types

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Top Label Types

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Freelancer Overview

I am an AI-oriented Language and Data Specialist with hands-on experience in data annotation, content evaluation, and linguistic quality assurance for AI-driven systems. My background includes multimodal and text-based data labeling for computer vision and NLP projects, such as producing detailed image descriptions, evaluating text-to-image outputs, and reviewing face swap results. I have evaluated LLM-generated responses for accuracy, reasoning, and cultural relevance in multiple languages (Ukrainian, Polish, Russian, and English), ensuring high-quality training data for robust AI models. Skilled in tools like MS Word, Google Docs, Excel, and working with data formats such as JSON and XML, I am passionate about delivering precise, guideline-compliant annotations and supporting the development of effective, culturally aware AI systems.

Not specified

Labeling Experience

LLM Evaluation Specialist & AI Data Annotation – Outlier

TextEvaluation Rating
As an LLM Evaluation Specialist & AI Data Annotation contributor, I evaluated LLM-generated responses for user queries in multiple languages. I annotated answers for reasoning quality, fluency, factual correctness, clarity, and guideline adherence. My tasks included reviewing outputs for linguistic and cultural relevance as well as policy and safety compliance. • Evaluated and rated AI chatbot outputs for accuracy and appropriateness. • Translated, reviewed, and processed multilingual content (Ukrainian, Polish, Russian) for guideline alignment. • Ensured conversation norms, tone, and guideline adherence in AI outputs. • Annotated strengths, weaknesses, and factual errors in model responses for supervised fine-tuning.

As an LLM Evaluation Specialist & AI Data Annotation contributor, I evaluated LLM-generated responses for user queries in multiple languages. I annotated answers for reasoning quality, fluency, factual correctness, clarity, and guideline adherence. My tasks included reviewing outputs for linguistic and cultural relevance as well as policy and safety compliance. • Evaluated and rated AI chatbot outputs for accuracy and appropriateness. • Translated, reviewed, and processed multilingual content (Ukrainian, Polish, Russian) for guideline alignment. • Ensured conversation norms, tone, and guideline adherence in AI outputs. • Annotated strengths, weaknesses, and factual errors in model responses for supervised fine-tuning.

2025

Data Annotation Specialist – MultiMango, Aether Project

ImageClassification
As a Data Annotation Specialist, I worked on multimodal data labeling for AI and machine learning model training, focusing on vision and text domains. I produced detailed image annotations, including object-level and fine-grained labeling, and handled product labeling and structured descriptions. I also evaluated ML model detection accuracy, tested digital interfaces, reviewed face swap outputs, and performed text-to-image annotation accuracy checks. • Labeled social media images and categorized objects, products, and attributes. • Performed vector graphics labeling, spatial relationship identification, and scene composition annotation. • Generated structured visual documentation and step-by-step usability guides. • Manually validated visual completeness and provided correctness verdicts for various datasets.

As a Data Annotation Specialist, I worked on multimodal data labeling for AI and machine learning model training, focusing on vision and text domains. I produced detailed image annotations, including object-level and fine-grained labeling, and handled product labeling and structured descriptions. I also evaluated ML model detection accuracy, tested digital interfaces, reviewed face swap outputs, and performed text-to-image annotation accuracy checks. • Labeled social media images and categorized objects, products, and attributes. • Performed vector graphics labeling, spatial relationship identification, and scene composition annotation. • Generated structured visual documentation and step-by-step usability guides. • Manually validated visual completeness and provided correctness verdicts for various datasets.

2025

Education

U

University of Warsaw

Master of Science, Data Science

Master of Science
2023

Work History

O

Outlier

Data Analyst Intern

Warsaw
2024 - 2024
F

Freelance

Freelance Language Specialist

N/A
2023 - 2023