Samuel Jesee

Key Skills

Software

Appen

CloudFactory

Remotasks

Scale AI

Top Subject Matter

STEM AI response evaluation

self driving cars image & video annotation

STEM AI Response Evaluation

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Object Detection

Segmentation

Freelancer Overview

I've worked in a variety of businesses, including data labeling and AI training, with a focus on 2D and 3D annotation, video annotation, and AI response moderation. I've worked on a variety of projects with platforms like Appen and scale AI, including as classifying data for self-driving cars, annotating videos for object tracking, and regulating AI responses in subjects like math and programming. I now have a solid understanding of the requirements for AI model training thanks to these roles, which guarantee precise, excellent labeled data to enhance machine learning results. My technical expertise, meticulous nature, and capacity to work with both structured and unstructured data are my main advantages. I'm very good at managing large, complicated data sets, offering input to help AI models get better, and making sure textual and visual data are accurate. I have a background in software engineering and a special combination of practical training experience and technical understanding that allows me to significantly improve machine learning systems.

Labeling Experience

Entry 3

Scale AIComputer Code ProgrammingQuestion AnsweringEvaluation Rating

To improve its ability to provide accurate and contextually appropriate responses to coding-related questions, a large language model (LLM) was specifically trained for coding tasks. As a member of the Remotasks team, I oversaw the AI's responses across a range of programming languages, ensuring that the results followed best practices and were technically sound. My role mainly involved evaluating and categorizing AI-generated responses for different tasks, such as explaining techniques, debugging code, and providing detailed solutions to complex programming issues. To carry out this work effectively, I needed a strong grasp of logic flow, syntax, and error handling in various programming languages, including Java, Swift, Python, JavaScript, and C++.

To improve its ability to provide accurate and contextually appropriate responses to coding-related questions, a large language model (LLM) was specifically trained for coding tasks. As a member of the Remotasks team, I oversaw the AI's responses across a range of programming languages, ensuring that the results followed best practices and were technically sound. My role mainly involved evaluating and categorizing AI-generated responses for different tasks, such as explaining techniques, debugging code, and providing detailed solutions to complex programming issues. To carry out this work effectively, I needed a strong grasp of logic flow, syntax, and error handling in various programming languages, including Java, Swift, Python, JavaScript, and C++.

2023 - 2024

Entry 2

Scale AIVideoBounding BoxPolygon

I possess extensive experience in various industries, including data labeling and AI training, with a strong focus on 2D and 3D annotation, video annotation, and AI response moderation. My track record includes successful completion of diverse projects with platforms such as Appen and Remotasks, involving tasks like classifying data for self-driving cars, annotating videos for object tracking, and regulating AI responses in subjects like math and programming. This experience has provided me with a comprehensive understanding of the requirements for AI model training, ensuring the delivery of precise and high-quality labeled data to optimize machine learning outcomes. My proficiency extends to handling both structured and unstructured data, and my technical expertise and meticulous attention to detail are my standout attributes. I specialize in managing large, complex data sets, providing invaluable input to enhance AI models, and guaranteeing the accuracy of textual and visual data.

I possess extensive experience in various industries, including data labeling and AI training, with a strong focus on 2D and 3D annotation, video annotation, and AI response moderation. My track record includes successful completion of diverse projects with platforms such as Appen and Remotasks, involving tasks like classifying data for self-driving cars, annotating videos for object tracking, and regulating AI responses in subjects like math and programming. This experience has provided me with a comprehensive understanding of the requirements for AI model training, ensuring the delivery of precise and high-quality labeled data to optimize machine learning outcomes. My proficiency extends to handling both structured and unstructured data, and my technical expertise and meticulous attention to detail are my standout attributes. I specialize in managing large, complex data sets, providing invaluable input to enhance AI models, and guaranteeing the accuracy of textual and visual data.

2022 - 2024

Entry 1

Scale AIImageBounding BoxClassification

I possess extensive experience in various industries, including data labeling and AI training, with a strong focus on 2D and 3D annotation, video annotation, and AI response moderation. My track record includes successful completion of diverse projects with platforms such as Appen and Remotasks, involving tasks like classifying data for self-driving cars, annotating videos for object tracking, and regulating AI responses in subjects like math and programming. This experience has provided me with a comprehensive understanding of the requirements for AI model training, ensuring the delivery of precise and high-quality labeled data to optimize machine learning outcomes. My proficiency extends to handling both structured and unstructured data, and my technical expertise and meticulous attention to detail are my standout attributes. I specialize in managing large, complex data sets, providing invaluable input to enhance AI models, and guaranteeing the accuracy of textual and visual data.

I possess extensive experience in various industries, including data labeling and AI training, with a strong focus on 2D and 3D annotation, video annotation, and AI response moderation. My track record includes successful completion of diverse projects with platforms such as Appen and Remotasks, involving tasks like classifying data for self-driving cars, annotating videos for object tracking, and regulating AI responses in subjects like math and programming. This experience has provided me with a comprehensive understanding of the requirements for AI model training, ensuring the delivery of precise and high-quality labeled data to optimize machine learning outcomes. My proficiency extends to handling both structured and unstructured data, and my technical expertise and meticulous attention to detail are my standout attributes. I specialize in managing large, complex data sets, providing invaluable input to enhance AI models, and guaranteeing the accuracy of textual and visual data.

2022 - 2024

Education

Work History