Raul Sigal

Key Skills

Software

Labelbox

SuperAnnotate

Label Studio

Don't disclose

CVAT

Roboflow

Top Subject Matter

Large Language Models

General Content

Speech and Audio AI Models

Top Data Types

Text

Audio

Image

Top Task Types

Prompt + Response Writing (SFT)

Audio Recording

Classification

Freelancer Overview

AI Trainer / Data Annotator (Freelance). Brings 42+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, SuperAnnotate, and Label Studio. Education includes Bachelor of Arts, John F. Kennedy University. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Prompt + Response Writing (SFT), Audio Recording, and Classification.

Labeling Experience

AI Trainer / Computer Vision Data Annotator (Freelance)

CVATImageClassification

I worked with computer vision tools to classify image-based datasets for AI model training. Using platforms such as CVAT and Roboflow, I annotated and categorized visual data to support model accuracy and fine-tuning. The experience enhanced skills in multimodal AI through diverse image data annotation. • Utilized CVAT and Roboflow for content classification and image annotation. • Performed quality assurance on classified images and reviewed outputs. • Collaborated in dataset construction for computer vision applications. • Contributed to the foundation of multimodal AI development.

I worked with computer vision tools to classify image-based datasets for AI model training. Using platforms such as CVAT and Roboflow, I annotated and categorized visual data to support model accuracy and fine-tuning. The experience enhanced skills in multimodal AI through diverse image data annotation. • Utilized CVAT and Roboflow for content classification and image annotation. • Performed quality assurance on classified images and reviewed outputs. • Collaborated in dataset construction for computer vision applications. • Contributed to the foundation of multimodal AI development.

2024 - Present

AI Trainer / Voice Acting Data Annotation (Freelance)

Don T DiscloseAudioAudio Recording

I engaged in multimodal AI training that included linguistic training with voice acting. This work contributed to the enhancement of speech models and audio classification systems. My involvement also supported the development of voice-driven AI and natural language processing applications. • Provided voice acting for linguistic model training and annotation. • Participated in audio data curation and dataset enrichment. • Supported audio classification and speech model refinement. • Enhanced natural language processing through multimodal data annotation.

I engaged in multimodal AI training that included linguistic training with voice acting. This work contributed to the enhancement of speech models and audio classification systems. My involvement also supported the development of voice-driven AI and natural language processing applications. • Provided voice acting for linguistic model training and annotation. • Participated in audio data curation and dataset enrichment. • Supported audio classification and speech model refinement. • Enhanced natural language processing through multimodal data annotation.

2024 - Present

AI Trainer / Data Annotator (Freelance)

LabelboxTextPrompt Response Writing SFT

As a freelance AI Trainer and Data Annotator, I was responsible for training and evaluating Large Language Models (LLMs). My primary focus was on curating datasets, creating prompts and rubrics, and performing error analysis to improve model accuracy. I executed more than 500 high-complexity AI training tasks on leading annotation platforms. • Trained and evaluated LLMs using over 500 tasks across Labelbox, SuperAnnotate, and Label Studio. • Developed prompts, rubrics, and dataset structures using JSON formats. • Performed error analysis and quality control, achieving an approval rate above 80%. • Participated in ranking, consistency verification, and dataset fine-tuning.

As a freelance AI Trainer and Data Annotator, I was responsible for training and evaluating Large Language Models (LLMs). My primary focus was on curating datasets, creating prompts and rubrics, and performing error analysis to improve model accuracy. I executed more than 500 high-complexity AI training tasks on leading annotation platforms. • Trained and evaluated LLMs using over 500 tasks across Labelbox, SuperAnnotate, and Label Studio. • Developed prompts, rubrics, and dataset structures using JSON formats. • Performed error analysis and quality control, achieving an approval rate above 80%. • Participated in ranking, consistency verification, and dataset fine-tuning.

2024 - Present

Education

Work History