For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
M

Moses Nyutu Mbogo

AI Data Annotation & Evaluation Specialist

KENYA flag
Nairobi, Kenya
$15.00/hrExpertLabelboxProdigy

Key Skills

Software

LabelboxLabelbox
ProdigyProdigy

Top Subject Matter

Artificial Intelligence/Natural Language Processing
Large Language Model (LLM) Training
Legal Services & Contract Review

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Entity Ner Classification
Fine Tuning
Data Collection
Prompt Response Writing SFT

Freelancer Overview

AI Data Annotation & Evaluation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

ExpertEnglish

Labeling Experience

Audio DSP Dataset Preparation Specialist

AudioData Collection
As an Audio DSP Dataset Preparation Specialist, I curated and preprocessed over 200 hours of audio data for model training. I implemented C++ algorithms using the JUCE framework for audio signal processing to enrich the dataset. I documented the workflow to ensure reproducibility in future audio-based AI model projects. • Cleaned and augmented audio data sets for training. • Developed JUCE C++ DSP scripts for audio processing. • Maintained detailed records of audio collection and processing steps. • Improved dataset quality and model readiness.

As an Audio DSP Dataset Preparation Specialist, I curated and preprocessed over 200 hours of audio data for model training. I implemented C++ algorithms using the JUCE framework for audio signal processing to enrich the dataset. I documented the workflow to ensure reproducibility in future audio-based AI model projects. • Cleaned and augmented audio data sets for training. • Developed JUCE C++ DSP scripts for audio processing. • Maintained detailed records of audio collection and processing steps. • Improved dataset quality and model readiness.

2023 - Present
Labelbox

AI Evaluation Data Labeling Specialist

LabelboxTextFine TuningPrompt Response Writing SFT
As an AI Evaluation Data Labeling Specialist, I reviewed AI-generated outputs for accuracy and consistency. I performed annotation on large text and image datasets for machine learning purposes. I conducted rubric-based evaluations and recorded quality metrics to improve data labeling processes. • Ensured all data labeling aligned with specific guidelines and standards • Optimized annotation workflows in collaboration with AI teams • Used data annotation tools to label text and images • Maintained detailed documentation and iterative improvements

As an AI Evaluation Data Labeling Specialist, I reviewed AI-generated outputs for accuracy and consistency. I performed annotation on large text and image datasets for machine learning purposes. I conducted rubric-based evaluations and recorded quality metrics to improve data labeling processes. • Ensured all data labeling aligned with specific guidelines and standards • Optimized annotation workflows in collaboration with AI teams • Used data annotation tools to label text and images • Maintained detailed documentation and iterative improvements

2023 - Present
Prodigy

AI Project Intern

ProdigyTextEntity Ner Classification
As an AI Project Intern, I supported the annotation of NLP datasets for supervised learning models. I contributed to the evaluation of AI outputs and assisted with semi-automated labeling. I aided in reporting and documentation of AI model evaluation results. • Helped ensure accurate annotations for natural language datasets • Developed scripts for data labeling and quality checks • Collaborated on documentation with the project team • Improved processes for labeling consistency and quality

As an AI Project Intern, I supported the annotation of NLP datasets for supervised learning models. I contributed to the evaluation of AI outputs and assisted with semi-automated labeling. I aided in reporting and documentation of AI model evaluation results. • Helped ensure accurate annotations for natural language datasets • Developed scripts for data labeling and quality checks • Collaborated on documentation with the project team • Improved processes for labeling consistency and quality

2022 - 2023

Education

U

University of Nairobi

Bachelor of Science, Computer Science

Bachelor of Science
2022
0

0

Bachelor of Science, Computer Science

Bachelor of Science
2022

Work History

F

Freelance

Web Developer

Nairobi
2022 - Present
R

Ray Ai

Data annotation

Nairobi
2023 - 2026