Ondi Z.

Key Skills

Software

Don't disclose

Top Subject Matter

Multilingual AI response evaluation (Hungarian/English/German) and linguistic quality assessment

Prompt writing and iterative AI testing (multilingual linguistic quality)

Multilingual transcription and linguistic capture (Hungarian/English/German)

Top Data Types

Text

Audio

Video

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Transcription

Audio Recording

Classification

Freelancer Overview

AI Language Evaluator / Data Specialist — AI response review & rating (Remote Contract Projects). Brings 30+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor’s Degree, Eötvös Loránd University (ELTE) (1996). AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Image & Video Annotation Projects — Object/action/context annotation & review

Don't discloseVideoClassification

Annotated image and video content by identifying objects, actions, relationships, and contextual information. Performed reviews of multimedia data against project-specific requirements to maintain dataset consistency. Ensured labeling accuracy across large datasets while following detailed guidelines. • Labeled visual elements including objects, actions, and relationships • Incorporated contextual understanding to support correct labeling • Conducted consistency checks on multimedia annotations • Reviewed and validated multimedia data per instructions

Not specified

Transcription & Speech Data Projects — Speech data annotation & audio quality review

Don't discloseAudioAudio Recording

Annotated speech data to support pronunciation, intent, meaning, and linguistic characteristic labeling. Reviewed audio recordings to judge clarity, naturalness, pacing, and overall audio quality. Applied consistent annotation criteria to ensure the resulting labeled data met project requirements. • Labeled pronunciation and linguistic characteristics • Assessed intent and meaning conveyed by speakers • Evaluated audio for clarity and natural speaking pace • Ensured consistency across large volumes of audio data

Not specified

Transcription & Speech Data Projects — Transcription and voice recording tasks

Don't discloseAudioTranscription

Transcribed multilingual audio recordings in Hungarian, English, and German for speech and language dataset preparation. Produced accurate text while handling different accents, conversational speech patterns, and lower-quality audio. Performed transcription tasks with an emphasis on clarity, consistent delivery, and correct capture of linguistic content. • Covered multiple speaker and recording quality conditions • Captured meaning and intent as expressed in speech • Supported downstream evaluation and annotation workflows • Completed voice recording/transcription-related tasks as required by project guidelines

Not specified

AI Language Evaluator / Data Specialist — Prompt creation & evaluation (Remote Contract Projects)

Don't discloseTextPrompt + Response Writing (SFT)

Created and evaluated prompts to support AI testing and improve response quality. Iterated prompt formulations based on observed output quality and guideline requirements. Ensured resulting prompt-response sets aligned with intended meaning, tone, and natural language usage. • Designed prompts for eliciting accurate, relevant, and fluent answers • Assessed whether AI responses satisfied prompt intent • Identified subtle linguistic gaps affecting user experience • Documented evaluation outcomes for prompt refinement

Not specified

AI Language Evaluator / Data Specialist — AI response review & rating (Remote Contract Projects)

Don't discloseText

Reviewed AI-generated responses to assess accuracy, relevance, clarity, fluency, and naturalness according to project guidelines. Compared multiple AI outputs to determine which better matched user intent and expected quality. Edited and refined AI-generated text to improve grammar, style, tone, and readability while ensuring compliance with evaluation standards. • Evaluated linguistic issues, inconsistencies, unclear wording, and incorrect context • Maintained consistent evaluation criteria across tasks • Provided human feedback signals intended for AI response improvement • Produced refined outputs as part of quality enhancement workflows

Not specified

Education

Work History