Simon Mutunga

Key Skills

Software

Labelbox

Scale AI

SuperAnnotate

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Task Types

Action Recognition

Bounding Box

Classification

Computer Programming/Coding

Point/Key Point

Polygon

Polyline

Question Answering

Freelancer Overview

I have experience supporting AI training data and structured labeling work through contract roles focused on data and content evaluation. This involved reviewing audio and text outputs against clear standards, checking consistency, and flagging errors or ambiguous cases rather than forcing results. I’ve worked in workflows where quality matters more than speed, and where careful judgment improves the reliability of datasets used for downstream machine learning. What sets me apart is a detail-oriented approach shaped by both AI data review and geospatial data validation. I’m comfortable working with large, messy datasets, spotting edge cases, and documenting issues clearly. I bring the same discipline I use in GIS quality control into training data tasks, with a focus on accuracy, traceability, and clean decision-making.

Labeling Experience

Image Annotator/QA

Scale AIImagePolygonPoint Key Point

I labeled thousands of street-level images to train computer vision models for tasks like lane detection, traffic sign recognition, and pedestrian identification. I used tools to draw bounding boxes and segmentation masks around vehicles, road markings, cyclists, and infrastructure elements. I focused on precision and consistency—essential for real-time decision-making in self-driving systems—and regularly adapted to updated annotation guidelines and QA feedback.

I labeled thousands of street-level images to train computer vision models for tasks like lane detection, traffic sign recognition, and pedestrian identification. I used tools to draw bounding boxes and segmentation masks around vehicles, road markings, cyclists, and infrastructure elements. I focused on precision and consistency—essential for real-time decision-making in self-driving systems—and regularly adapted to updated annotation guidelines and QA feedback.

2021 - 2024

Education

Work History