Lara Sevim

Key Skills

Software

Internal/Proprietary Tooling

Appen

Toloka

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Label Types

Action Recognition

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

I have extensive experience in AI training data and data labeling, specializing in multilingual projects involving English, Turkish, and Russian. My work has included evaluating AI-generated text for grammar, meaning, and fluency, as well as performing detailed text and audio annotation, transcription, and subtitling. I have collaborated with teams to refine machine translation outputs, ensuring culturally accurate and natural phrasing, while also contributing to the creation of precise subtitles and transcripts that align language with timing for accessibility. Through platforms such as Appen, Toloka, Welocalize, and Upwork, I have supported a wide range of AI initiatives by delivering consistent, high-quality annotations. My skills in linguistics, cross-cultural adaptation, and error detection enable me to spot nuanced mistakes that automated systems often miss. This combination of technical precision and linguistic expertise allows me to contribute effectively to projects that require both language sensitivity and structured data labeling.

Labeling Experience

Appen – Data Labeling Projects

AppenTextEntity Ner ClassificationQuestion Answering

Performed text annotation and categorization for multilingual datasets (English, Turkish, Russian), tagging grammar, context, and sentiment. Evaluated AI-generated outputs, marking responses as correct/incorrect or natural/unnatural to improve model performance. Annotated entities, parts of speech, and semantic relationships to support natural language processing (NLP) projects.

Performed text annotation and categorization for multilingual datasets (English, Turkish, Russian), tagging grammar, context, and sentiment. Evaluated AI-generated outputs, marking responses as correct/incorrect or natural/unnatural to improve model performance. Annotated entities, parts of speech, and semantic relationships to support natural language processing (NLP) projects.

2024 - 2025

Upwork – Data Labeling & Annotation Projects

Label StudioVideoTranslation LocalizationEvaluation Rating

Performed text annotation and categorization for multilingual datasets (English, Turkish, Russian), tagging grammar, context, sentiment, and entities. Transcribed audio recordings and created time-aligned subtitles for video content, ensuring clarity and accuracy for AI training. Evaluated AI-generated text and audio outputs, marking errors and refining dataset quality. Additional Info: Experienced in both text and audio labeling for AI and NLP projects. Skilled in maintaining consistency and accuracy across diverse datasets and languages. Comfortable managing freelance projects independently, meeting client deadlines, and following detailed labeling guidelines.

Performed text annotation and categorization for multilingual datasets (English, Turkish, Russian), tagging grammar, context, sentiment, and entities. Transcribed audio recordings and created time-aligned subtitles for video content, ensuring clarity and accuracy for AI training. Evaluated AI-generated text and audio outputs, marking errors and refining dataset quality. Additional Info: Experienced in both text and audio labeling for AI and NLP projects. Skilled in maintaining consistency and accuracy across diverse datasets and languages. Comfortable managing freelance projects independently, meeting client deadlines, and following detailed labeling guidelines.

2022

Toloka – Audio Data Labeling Projects

TolokaAudioEmotion RecognitionAction Recognition

Transcribed audio recordings in English, Turkish, and Russian, ensuring high accuracy and proper formatting. Created time-aligned subtitles for audio/video content, maintaining synchronization and clarity for AI training purposes. Evaluated AI-generated transcripts and audio outputs, marking errors and improving dataset quality. Additional Info: Skilled in audio annotation and subtitling for multilingual content. Experienced in maintaining high-quality standards for transcription and AI training datasets under tight deadlines.

Transcribed audio recordings in English, Turkish, and Russian, ensuring high accuracy and proper formatting. Created time-aligned subtitles for audio/video content, maintaining synchronization and clarity for AI training purposes. Evaluated AI-generated transcripts and audio outputs, marking errors and improving dataset quality. Additional Info: Skilled in audio annotation and subtitling for multilingual content. Experienced in maintaining high-quality standards for transcription and AI training datasets under tight deadlines.

2025 - 2025

Education

Work History