Genesis Torres

Key Skills

Software

Appen

Labelbox

CVAT

Scale AI

LabelImg

Telus

Top Subject Matter

Business Operations and Management

Business Strategy

Management Domain Expertise

Top Data Types

Text

Image

Audio

Video

Top Task Types

Classification

Bounding Box

Polygon

RLHF

Question Answering

Transcription

Object Detection

Segmentation

Entity Ner Classification

Point Key Point

Freelancer Overview

Senior Data Labeler & Annotation Specialist. Core strengths include Appen, Labelbox, and CVAT. Education includes Bachelor of Science, University of Texas at Austin (2017). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Bounding Box, and Polygon.

Labeling Experience

Senior Data Labeler & Annotation Specialist

AppenTextClassificationBounding Box

As a Senior Data Labeler & Annotation Specialist at Appen, I annotated over 30,000 multimodal datasets including text, images, and audio with a high degree of accuracy. I performed reward modeling and RLHF on large language model outputs, focusing on sentiment analysis, consistency, and fact-checking. My role required maintaining exceptional throughput, consensus, and edge case flagging for continuous improvements in AI training data quality. • Labeled text with classification and sentiment scoring for model relevance. • Applied bounding boxes and polygons to images for detail annotation. • Transcribed and labeled audio for supervised learning models. • Carried out QA reviews and collaborated with ML engineers for model enhancements.

As a Senior Data Labeler & Annotation Specialist at Appen, I annotated over 30,000 multimodal datasets including text, images, and audio with a high degree of accuracy. I performed reward modeling and RLHF on large language model outputs, focusing on sentiment analysis, consistency, and fact-checking. My role required maintaining exceptional throughput, consensus, and edge case flagging for continuous improvements in AI training data quality. • Labeled text with classification and sentiment scoring for model relevance. • Applied bounding boxes and polygons to images for detail annotation. • Transcribed and labeled audio for supervised learning models. • Carried out QA reviews and collaborated with ML engineers for model enhancements.

2024 - Present

AI Data Annotation Contractor

Scale AIImageObject DetectionSegmentation

As an AI Data Annotation Contractor at Scale AI, I labeled more than 20,000 images and videos using CVAT and LabelImg, achieving high precision through detailed guidelines adherence. My tasks included semantic segmentation, named entity recognition, and multi-label classification, often leveraging Python scripts to improve workflow. Additionally, I took part in dataset validation and increased dataset quality through frequent peer review. • Conducted object detection and segmentation for computer vision models. • Executed NER and classification on diverse datasets for better ML utility. • Validated peer annotations and ensured high dataset standards. • Automated repetitive tasks for annotation efficiency.

As an AI Data Annotation Contractor at Scale AI, I labeled more than 20,000 images and videos using CVAT and LabelImg, achieving high precision through detailed guidelines adherence. My tasks included semantic segmentation, named entity recognition, and multi-label classification, often leveraging Python scripts to improve workflow. Additionally, I took part in dataset validation and increased dataset quality through frequent peer review. • Conducted object detection and segmentation for computer vision models. • Executed NER and classification on diverse datasets for better ML utility. • Validated peer annotations and ensured high dataset standards. • Automated repetitive tasks for annotation efficiency.

2021 - 2023

Junior Data Annotator

TelusTextClassificationPoint Key Point

As a Junior Data Annotator at Telus International, I categorized and tagged over 10,000 NLP datasets and supported image annotation tasks. I developed foundational knowledge in annotation standards for various AI use cases while performing basic quality assurance and ambiguity flagging. This role introduced me to key annotation tools and QA methodologies for data-centric tasks. • Categorized and classified NLP datasets for annotation projects. • Conducted basic point annotation and labeling for images. • Participated in QA and flagged ambiguous labeling samples. • Gained experience with VGG Image Annotator and annotation workflows.

As a Junior Data Annotator at Telus International, I categorized and tagged over 10,000 NLP datasets and supported image annotation tasks. I developed foundational knowledge in annotation standards for various AI use cases while performing basic quality assurance and ambiguity flagging. This role introduced me to key annotation tools and QA methodologies for data-centric tasks. • Categorized and classified NLP datasets for annotation projects. • Conducted basic point annotation and labeling for images. • Participated in QA and flagged ambiguous labeling samples. • Gained experience with VGG Image Annotator and annotation workflows.

2018 - 2019

Education

Work History