Eric Mundia

Key Skills

Software

Clickworker

CVAT

Labelbox

Remotasks

Scale AI

Top Subject Matter

NLP Text Evaluation and Annotation

AI Model Training and Text Generation

Data Annotation for Machine Learning Models

Top Data Types

Computer Code Programming

Text

Video

Top Task Types

Bounding Box

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Text Generation

Freelancer Overview

I am a seasoned NLP and AI model evaluation specialist with a comprehensive background in AI, machine learning, and software engineering. My professional journey encompasses significant roles where I developed and enhanced AI-driven solutions, including a stint as a Content Strategist at Clickworker and Team Lead at Remotasks. My expertise extends to programming in multiple languages, utilizing advanced AI/ML tools like TensorFlow and PyTorch, and employing data annotation tools to ensure the quality and accuracy of training data. I have successfully led teams in data annotation, model training, and have refined AI models for improved performance in real-world applications. My technical skills are complemented by a proven ability to strategize and implement effective content and software solutions that enhance AI capabilities and user engagement.

Labeling Experience

Enhancing AI Content Generation Through Strategic Data Labeling

LabelboxTextText GenerationText Summarization

In my role as a Content Strategist at Clickworker, I led a pivotal project aimed at refining the quality and accuracy of AI-generated writing. This involved curating and labeling extensive text datasets to train AI models on various writing styles and content formats, enhancing their ability to generate grammatically correct, factually accurate, and contextually relevant content. The project demanded rigorous quality controls, including iterative testing and feedback loops, to align AI outputs with desired content standards and client expectations. This strategic intervention significantly boosted content personalization and user engagement.

In my role as a Content Strategist at Clickworker, I led a pivotal project aimed at refining the quality and accuracy of AI-generated writing. This involved curating and labeling extensive text datasets to train AI models on various writing styles and content formats, enhancing their ability to generate grammatically correct, factually accurate, and contextually relevant content. The project demanded rigorous quality controls, including iterative testing and feedback loops, to align AI outputs with desired content standards and client expectations. This strategic intervention significantly boosted content personalization and user engagement.

2021 - 2024

Large-Scale Data Annotation for AI Model Training

Scale AIImageBounding BoxPolygon

As a Team Lead at Remotasks, I managed a comprehensive data annotation initiative aimed at improving AI model accuracy across various applications. Our project focused on the detailed annotation of images and texts, employing bounding boxes and polygons for object recognition and detailed text annotations for natural language processing tasks. The project scale involved thousands of data points annotated by a team trained and supervised to maintain high accuracy and consistency standards. This extensive dataset was crucial for training robust AI models capable of performing with high efficiency in real-world scenarios.

As a Team Lead at Remotasks, I managed a comprehensive data annotation initiative aimed at improving AI model accuracy across various applications. Our project focused on the detailed annotation of images and texts, employing bounding boxes and polygons for object recognition and detailed text annotations for natural language processing tasks. The project scale involved thousands of data points annotated by a team trained and supervised to maintain high accuracy and consistency standards. This extensive dataset was crucial for training robust AI models capable of performing with high efficiency in real-world scenarios.

2019 - 2020

AI-Driven Software Development and Data Annotation

LabelboxComputer Code ProgrammingRLHFComputer Programming Coding

In my role as a Software Engineer at Milestone Tech Company, I engaged in a project aimed at integrating AI into software solutions, which involved annotating and reviewing code as well as textual data to train and refine AI models. This project required the development of scripts and tools in Python, Java, and JavaScript to automate and enhance the data annotation process, ensuring high accuracy and efficiency. We focused on optimizing AI models for better performance in natural language processing and automated code generation, applying rigorous testing and validation techniques to achieve high-quality standards.

In my role as a Software Engineer at Milestone Tech Company, I engaged in a project aimed at integrating AI into software solutions, which involved annotating and reviewing code as well as textual data to train and refine AI models. This project required the development of scripts and tools in Python, Java, and JavaScript to automate and enhance the data annotation process, ensuring high accuracy and efficiency. We focused on optimizing AI models for better performance in natural language processing and automated code generation, applying rigorous testing and validation techniques to achieve high-quality standards.

2014 - 2015

Education

Work History