Moses Mulobi

Key Skills

Software

Appen

CVAT

Data Annotation Tech

Deep Systems

Google Cloud Vertex AI

HiveMind

Labelbox

OpenCV AI Kit (OAK)

Scale AI

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Bounding Box

Computer Programming/Coding

Text Generation

Text Summarization

Translation/Localization

Freelancer Overview

I have extensive experience in data labeling and AI training, with a strong focus on creating high-quality datasets to optimize machine learning models. During my tenure at Remotasks and Appen, I specialized in annotating diverse data types, including images, text, and audio, to train advanced AI systems. My role involved following strict quality control protocols, ensuring accuracy, and refining annotation guidelines. As a Swahili AI Data Trainer at Appen, I collaborated with linguists and developers to enhance linguistic models, contributing to region-specific AI solutions. What sets me apart is my ability to understand the nuances of data and its impact on model performance. I’m skilled in leveraging tools like Labelbox and Python scripts for efficient annotation and data preprocessing. Additionally, my background in software engineering allows me to bridge the gap between annotation tasks and their integration into machine learning pipelines, ensuring seamless workflows and optimal outcomes for AI projects.

Labeling Experience

Prompt writing and response

Scale AITextPrompt Response Writing SFT

Worked on a large language model data set involving generation of prompts and responses to train AI models reasoning and creativity.

Worked on a large language model data set involving generation of prompts and responses to train AI models reasoning and creativity.

2022 - 2024

Education

Work History