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Victor Motas

Victor Motas

Im currently working in Apple related AI annotation project.

GREECE flag
Athens, Greece
$24.00/hrExpertRemotasksScale AIInternal Proprietary Tooling

Key Skills

Software

RemotasksRemotasks
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Label Types

Action Recognition
Emotion Recognition
Evaluation Rating
Fine Tuning
Translation Localization

Freelancer Overview

I have hands‑on experience in AI training and data evaluation, with a focus on text‑based tasks such as ranking model outputs, assessing reasoning quality, and reviewing structured content. My strengths lie in analytical thinking, pattern recognition, and clear judgment, which allow me to evaluate AI responses for accuracy, coherence, and alignment with task instructions. I work fluently in English and Finnish, giving me an advantage in multilingual evaluation and cross‑language consistency checks. I excel in tasks that require precision, logical structure, and attention to detail, including classification, rewriting, and comparative assessment of AI‑generated content. My background includes working with platforms such as Data Annotation Tech and Remotasks, as well as internal evaluation tools for LLM behavior. I bring a reliable, methodical approach to training data creation, ensuring high‑quality outputs that support the development of more accurate and capable AI systems.

ExpertFinnishEnglish

Labeling Experience

Text Classification & Document Tagging Project

Internal Proprietary ToolingTextEntity Ner ClassificationClassification
Worked on a large‑scale annotation project supporting improvements to a voice assistant system. Tasks included transcribing short audio clips, classifying user intents, tagging named entities, and evaluating the clarity and correctness of voice‑to‑text outputs. Labeled emotional tone, corrected mis‑transcriptions, and ensured consistency across batches by following detailed annotation guidelines. Maintained high accuracy and reliability throughout the project.

Worked on a large‑scale annotation project supporting improvements to a voice assistant system. Tasks included transcribing short audio clips, classifying user intents, tagging named entities, and evaluating the clarity and correctness of voice‑to‑text outputs. Labeled emotional tone, corrected mis‑transcriptions, and ensured consistency across batches by following detailed annotation guidelines. Maintained high accuracy and reliability throughout the project.

2025

Education

T

Tamperei Business College

Diploma in Information Technology, Information Technology

Diploma in Information Technology
2014 - 2016

Work History

F

Fujitsu

IT support specialist

Tallinn
2017 - 2018