Joseph Masika

Key Skills

Software

Appen

Clickworker

CloudFactory

Data Annotation Tech

Humanatic

Labelbox

Mighty AI

Mindrift

OneForma

Remotasks

Scale AI

Toloka

Telus

Trilldata Technologies

Top Subject Matter

Self-driving car imagery

LLM evaluation

Satellite image Classification

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Geocoding

Prompt Response Writing SFT

Text Generation

Freelancer Overview

In my previous data labeling and training data management experience, I have antagonizing familiarizing with variety of data type such as image, text, audio data. I have implemented them in the projects where I needed to pay attention to each detail of the data and label them properly to boost the operation of machine learning algorithms. Skills that I possess in labeling include: data annotation, quality control and leveraging on actual labeling tools and technologies like Labelbox and Amazon SageMaker Ground Truth when labeling. There has also been a close working relationship with data scientists in setting up labeling standards that would also help in ensuring the accuracy necessary for effective machine learning. There is one project that will probably remain in my memory for quite a long time: it was a large-scale image classification, namely the annotation of tens of thousands of images in the field of computer vision, in which I not only selected tens of thousands of images but also supervised a team of annotators to mark them with high accuracy. Specifically, this project was beneficial in developing my leadership skills and working with big data. Further, in my prior workplaces, I have worked utilizing automation and artificial intelligence to enhance the labeling process’s efficiency.

Labeling Experience

AI Data Trainer

Scale AIComputer Code ProgrammingPolygonClassification

**Project Description: This volume is entitled **Advanced Data Labeling for AI Training Systems”. The project wiki was concentrated in improving the parameters of Artificial Intelligence models through stringent and careful labelling of varied sets of data: images, texts and sounds. >In implementing one of the advanced computer vision applications, I launched a giant initiative image classification. Arriving at this task aimed at enhancing the efficacy of the chosen AI model to analyze potentially tens of thousands of images each of which had to be tagged accurately. In this project, I had the responsibility of managing several annotators who were labeling the data and involved in several meetings with the data scientists with the purpose of deciding on the most appropriate labeling techniques. This helped to keep all the team members exercising professionalism in the kind of data to be included in the labels as well as the quality of the labels that were to be produced.

**Project Description: This volume is entitled **Advanced Data Labeling for AI Training Systems”. The project wiki was concentrated in improving the parameters of Artificial Intelligence models through stringent and careful labelling of varied sets of data: images, texts and sounds. >In implementing one of the advanced computer vision applications, I launched a giant initiative image classification. Arriving at this task aimed at enhancing the efficacy of the chosen AI model to analyze potentially tens of thousands of images each of which had to be tagged accurately. In this project, I had the responsibility of managing several annotators who were labeling the data and involved in several meetings with the data scientists with the purpose of deciding on the most appropriate labeling techniques. This helped to keep all the team members exercising professionalism in the kind of data to be included in the labels as well as the quality of the labels that were to be produced.

2020 - 2023

Education

Work History