Jorge Flores

Key Skills

Software

Mercor

Scale AI

Snorkel AI

Surge AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Emotion Recognition

Fine Tuning

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

Profile Overview I am an experienced leader in AI data operations and multilingual training data development, with a proven record of building and scaling high-quality annotation pipelines across text, image, and video modalities. Over the past several years, I have led multilingual reasoning and safety evaluation projects, designed end-to-end data labeling systems, and managed contributor networks across 30+ countries. My work has focused on developing structured quality frameworks, scalable recruitment models, and human-in-the-loop feedback loops to train and evaluate large language models (LLMs) and multimodal systems. My background combines operational strategy, process automation, and linguistic expertise to deliver consistent, culturally grounded data at scale. I specialize in multilingual reasoning, safety evaluation, and benchmarking—bridging the gap between AI research and human annotation. This blend of strategic, technical, and cross-cultural insight allows me to design systems that balance efficiency, quality, and adaptability across global AI projects.

Labeling Experience

Safety & Policy Data Tagging

Scale AITextEmotion RecognitionPrompt Response Writing SFT

Tagged and categorized user-generated content under safety policies (self-harm, hate speech, misinformation, discrimination). Applied multi-layered classification rules and maintained high inter-annotator agreement rates to support policy-compliant model training.

Tagged and categorized user-generated content under safety policies (self-harm, hate speech, misinformation, discrimination). Applied multi-layered classification rules and maintained high inter-annotator agreement rates to support policy-compliant model training.

2025

Multilingual Text Categorization & Evaluation

Scale AITextText GenerationEmotion Recognition

Labeled multilingual datasets for text classification, sentiment analysis, red teaming, and intent recognition. Tasks included tagging tone, topic, and context for AI language model training. Followed strict QA guidelines and consistency checks to maintain 95%+ accuracy across Spanish, French, and English datasets.

Labeled multilingual datasets for text classification, sentiment analysis, red teaming, and intent recognition. Tasks included tagging tone, topic, and context for AI language model training. Followed strict QA guidelines and consistency checks to maintain 95%+ accuracy across Spanish, French, and English datasets.

2023 - 2023

Image & Video Annotation for Visual Reasoning

Scale AIVideoBounding BoxSegmentation

Performed precise object detection and segmentation labeling on short video clips for spatial reasoning tasks. Annotated moving objects frame-by-frame, validated bounding accuracy, and corrected overlap errors. Maintained consistent labeling standards under strict QA review cycles.

Performed precise object detection and segmentation labeling on short video clips for spatial reasoning tasks. Annotated moving objects frame-by-frame, validated bounding accuracy, and corrected overlap errors. Maintained consistent labeling standards under strict QA review cycles.

2022 - 2022

Education

Work History