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Sofia K.

Sofia K.

AI Data Annotator (Remote | Freelance)

Germany flagBerlin, Germany

Key Skills

Software

Other

Top Subject Matter

Large language model response evaluation and quality assurance.

Top Data Types

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Top Task Types

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Freelancer Overview

AI Data Annotator (Remote | Freelance). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, SRH Berlin University Of Applied Science (2027). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and OCR.

Labeling Experience

AI Quality Evaluator - DataAnnotation Remote

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You evaluate AI-generated responses for correctness, reasoning quality, and factual accuracy across a variety of tasks. You validate code, mathematical solutions, and natural-language outputs to support quality assurance. You apply prompt-engineering techniques to improve large language model performance and ensure reliable results in production-style workflows. • Review and assess AI outputs for factual accuracy and logical consistency • Check structured answers including code and math solutions • Use prompt-engineering methods to refine model behavior • Contribute to QA workflows for large language models

2026 - Present

AI Data Annotator (Remote | Freelance)

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Worked as an AI data annotator evaluating AI-generated responses for quality and correctness. Reviewed and assessed outputs including natural language, code, and mathematical solutions. Applied prompt-engineering insights to improve model performance and supported quality assurance workflows for large language models. • Assessed response correctness, reasoning quality, and factual accuracy. • Validated code, mathematical solutions, and natural-language outputs. • Identified issues and inconsistencies to guide improvements. • Contributed to QA/quality checks for large language model outputs.

2026 - Present

Backend Developer (Project) - Multimodal RAG Assistant

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You built a multimodal retrieval-augmented generation assistant that supports ingestion and semantic search across multiple media types. You implemented chunking, embeddings, and vector storage to enable efficient retrieval with ChromaDB and local LLM inference via Ollama. You also developed OCR and media-processing pipelines for extracting text from images and converting audio/video using standard tools. • Implement document chunking, embeddings, and semantic search with ChromaDB • Integrate local LLM inference through Ollama and a Streamlit interface • Build OCR pipelines using Tesseract for image understanding • Process media with FFmpeg and audio transcription with Whisper

2026 - 2026

Education

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SRH Berlin University Of Applied Science

Bachelor of Science, Computer Science

Bachelor of Science
2023 - 2027

Work History

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Voice Control Task Manager

Full-Stack Developer (Project)

Berlin
2026 - Present
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DataAnnotation Remote

AI Quality Evaluator

Berlin
2026 - Present