Martin Mwangi

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Diffgram

Doccano

Encord

Figure Eight

Google Cloud Vertex AI

Hasty

HiveMind

Humanatic

iMerit

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Playment

Prodigy

Redbrick AI

Remotasks

Roboflow

Sama

Scale AI

Sloth

Snorkel AI

SuperAnnotate

Supervisely

Surge AI

Tagtog

Toloka

Telus

Trilldata Technologies

VoTT

V7 Labs

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Generation

Freelancer Overview

I am a dedicated Mathematician and AI Specialist with a Master’s degree in Applied Mathematics and hands-on experience in AI model development, training, and evaluation. Over the past several years, I have applied advanced mathematical techniques to support AI and machine learning projects, collaborating with cross-functional teams to ensure high-quality data preparation and accurate model outcomes. My expertise spans statistical analysis, data labeling, algorithm optimization, and simulation design, which enables me to bridge the gap between raw data and practical AI applications. In addition to research and industry experience, I have mentored junior data scientists and contributed to interdisciplinary projects involving mathematics, engineering, and computer science. I bring strong attention to detail, analytical rigor, and a deep understanding of the role accurate training data plays in building reliable AI systems. Whether annotating datasets, evaluating large language models, or refining data pipelines, I excel at ensuring quality and consistency that directly enhance model performance.

Labeling Experience

NLP Text Annotation for Large Language Model Training

OneformaTextEntity Ner ClassificationClassification

Worked on a large-scale text data labeling project supporting the training and evaluation of LLMs. Tasks included text classification, entity recognition (NER), summarization, and evaluation of model-generated outputs. Labeled thousands of text samples across multiple domains, applying strict quality control through consistency checks, peer reviews, and adherence to detailed project guidelines. Collaborated with a distributed annotation team to ensure accuracy, clarity, and consistency, contributing to datasets that improved model reliability and performance.

Worked on a large-scale text data labeling project supporting the training and evaluation of LLMs. Tasks included text classification, entity recognition (NER), summarization, and evaluation of model-generated outputs. Labeled thousands of text samples across multiple domains, applying strict quality control through consistency checks, peer reviews, and adherence to detailed project guidelines. Collaborated with a distributed annotation team to ensure accuracy, clarity, and consistency, contributing to datasets that improved model reliability and performance.

2016 - 2020

Education

Work History