Simon N.

Key Skills

Software

CloudFactory

CVAT

Hasty

Labelbox

LabelImg

Label Studio

Mercor

OpenCV AI Kit (OAK)

SuperAnnotate

Telus

V7 Labs

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming/Coding

Data Collection

Emotion Recognition

Entity (NER) Classification

Evaluation/Rating

Fine-tuning

Function Calling

Mapping

Object Detection

Point/Key Point

Polygon

Prompt + Response Writing (SFT)

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation/Localization

Freelancer Overview

I am an AI Data Specialist with three years of hands-on experience in data annotation, labeling, and quality assurance for large-scale AI projects spanning computer vision, natural language processing, and multimodal workflows. My background in computer science allows me to efficiently automate data validation and sanity checks using Python, ensuring high dataset accuracy and reliability. I have worked on remote teams for companies like CloudFactory, Reliabl (OpenAI-related projects), and Erud AI, where I annotated and evaluated images, audio, and text, identified edge cases, and collaborated closely with QA leads to improve annotation guidelines and workflows. I am skilled in tools such as CVAT, Label Studio, Labelbox, and SuperAnnotate, and excel at adapting to evolving project requirements while maintaining high quality and productivity. I am fluent in English and Swahili and thrive in remote, compliance-driven environments, actively seeking opportunities to contribute to AI training, data annotation, and evaluation projects.

Labeling Experience

AI Data Annotator at Erud AI

LabelboxImageEvaluation Rating

I evaluated AI-generated images for prompt fidelity, style alignment, and overall visual accuracy. My responsibilities included ranking outputs and supporting generative model improvement through detailed reviews. The work required adapting to new criteria as project requirements evolved. • Assessed images against specific evaluation criteria • Provided accuracy feedback to project stakeholders • Maintained fast turnaround times while ensuring quality • Used project management and annotation platforms for evaluations

I evaluated AI-generated images for prompt fidelity, style alignment, and overall visual accuracy. My responsibilities included ranking outputs and supporting generative model improvement through detailed reviews. The work required adapting to new criteria as project requirements evolved. • Assessed images against specific evaluation criteria • Provided accuracy feedback to project stakeholders • Maintained fast turnaround times while ensuring quality • Used project management and annotation platforms for evaluations

2025 - 2025

AI Data Annotator at Reliabl (OpenAI-related projects)

Don T DiscloseAudioTranscription

I transcribed and labeled audio datasets to support AI and NLP training projects. My tasks included accurate transcription, quality checks, and delivery of structured feedback. I ensured all work strictly complied with provided guidelines and prompt requirements. • Performed transcription and response scoring for audio and text data • Carried out preference ranking for responses and outputs • Delivered regular feedback to enhance annotation and evaluation standards • Used company proprietary platforms and provided project guidelines

I transcribed and labeled audio datasets to support AI and NLP training projects. My tasks included accurate transcription, quality checks, and delivery of structured feedback. I ensured all work strictly complied with provided guidelines and prompt requirements. • Performed transcription and response scoring for audio and text data • Carried out preference ranking for responses and outputs • Delivered regular feedback to enhance annotation and evaluation standards • Used company proprietary platforms and provided project guidelines

2025 - 2025

AI Data Annotator at CloudFactory

CloudfactoryImageClassification

I annotated and validated large-scale image datasets for training AI vision models. The projects demanded a high degree of accuracy and adherence to evolving guidelines. Automation scripts in Python were developed to streamline sanity checks and minimize manual review. • Consistently maintained high quality and productivity benchmarks • Identified and documented edge cases to improve dataset reliability • Collaborated closely with QA and project management teams • Used CVAT, Label Studio, Labelbox, and SuperAnnotate tools for annotation

I annotated and validated large-scale image datasets for training AI vision models. The projects demanded a high degree of accuracy and adherence to evolving guidelines. Automation scripts in Python were developed to streamline sanity checks and minimize manual review. • Consistently maintained high quality and productivity benchmarks • Identified and documented edge cases to improve dataset reliability • Collaborated closely with QA and project management teams • Used CVAT, Label Studio, Labelbox, and SuperAnnotate tools for annotation

2023 - 2025

Education

Work History