Víctor Rodriguez Mazuecos

Key Skills

Software

Appen

Clickworker

Doccano

Figure Eight

LabelImg

Label Studio

Remotasks

Toloka

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Bounding Box

Classification

Entity Ner Classification

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am a highly motivated Data Annotation Specialist with over one year of hands-on experience supporting the development of AI systems through precise and high-quality data labeling. I have worked on projects involving image, text, and audio datasets, using industry-standard tools such as Appen, Toloka, Remotasks, Label Studio, and Figure Eight. My work has contributed to training computer vision models, natural language processing systems, and chatbot evaluation. I am particularly skilled in classification, bounding boxes, named entity recognition (NER), and prompt-response generation tasks. My attention to detail, strong analytical mindset, and ability to quickly adapt to new annotation frameworks allow me to consistently meet accuracy standards and deadlines. Fluent in Spanish, English, and Catalan, I bring additional value to multilingual projects requiring linguistic sensitivity.

Labeling Experience

Bounding Box Annotation for Object Detection in Retail Images

LabelimgImageBounding BoxClassification

Accurately annotated thousands of retail environment images, labeling items such as products, price tags, and shelves using bounding boxes and category classification. The data was used to train computer vision models aimed at improving real-time inventory tracking. Collaborated with quality reviewers and followed detailed annotation guidelines to ensure data consistency.

Accurately annotated thousands of retail environment images, labeling items such as products, price tags, and shelves using bounding boxes and category classification. The data was used to train computer vision models aimed at improving real-time inventory tracking. Collaborated with quality reviewers and followed detailed annotation guidelines to ensure data consistency.

2024 - 2024

Multilingual Chatbot Evaluation & Text Classification

TolokaTextClassificationQuestion Answering

Evaluation of chatbot-generated dialogues in English and Spanish to assess coherence, relevance, and semantic accuracy. Manual classification of responses based on sentiment, user intent, and contextual correctness. Participation in RLHF (Reinforcement Learning from Human Feedback) tasks with detailed guidance on linguistic quality metrics. High accuracy requirements (>95%) and work under tight weekly deadlines.

Evaluation of chatbot-generated dialogues in English and Spanish to assess coherence, relevance, and semantic accuracy. Manual classification of responses based on sentiment, user intent, and contextual correctness. Participation in RLHF (Reinforcement Learning from Human Feedback) tasks with detailed guidance on linguistic quality metrics. High accuracy requirements (>95%) and work under tight weekly deadlines.

2023 - 2024

Education

Work History