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Isack Ngole

Isack Ngole

AI Training Specialist - Technology & Internet

TANZANIA flag
Sumbawanga, Rukwa, Tanzania
$20.00/hrIntermediateDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage

Top Label Types

Bounding Box
Segmentation

Freelancer Overview

I am a self-taught developer and AI training specialist with hands-on experience in data labeling, RLHF (Reinforcement Learning from Human Feedback), and technical evaluation of model outputs. My background in Python, Django, and core data science libraries like Pandas and NumPy has enabled me to work on data analysis and annotation projects, ensuring high-quality datasets for AI model training. I have contributed to building scalable web applications and optimizing data pipelines, and I am skilled in statistical modeling, prompt engineering, and technical fact-checking. My project work includes developing tools for financial data analysis and full-stack applications, where I focused on data integrity, accuracy, and efficiency. I am passionate about refining AI systems through precise data annotation and enjoy collaborating in remote, detail-oriented environments.

IntermediateEnglish

Labeling Experience

Technical Data Contributor (Independent)

Don T DiscloseImageBounding BoxSegmentation
As a Technical Data Contributor, I was responsible for auditing large image datasets and identifying errors in image labeling and classification. I applied complex project guidelines to provide high-precision semantic segmentation and bounding box annotations to prepare data for AI model training. I ensured all edge cases and anomalies were well documented, upholding strict standards for accuracy and consistency. • Performed manual labeling and categorization of images to meet project requirements. • Synthesized multi-page rulebooks into practical labeling workflows. • Identified and documented data quality issues to improve overall dataset fidelity. • Provided written feedback and maintained an output accuracy above 98%.

As a Technical Data Contributor, I was responsible for auditing large image datasets and identifying errors in image labeling and classification. I applied complex project guidelines to provide high-precision semantic segmentation and bounding box annotations to prepare data for AI model training. I ensured all edge cases and anomalies were well documented, upholding strict standards for accuracy and consistency. • Performed manual labeling and categorization of images to meet project requirements. • Synthesized multi-page rulebooks into practical labeling workflows. • Identified and documented data quality issues to improve overall dataset fidelity. • Provided written feedback and maintained an output accuracy above 98%.

2023 - 2023

Education

A

Ardhi University

Bachelor of Science, Environmental Engineering

Bachelor of Science
2017 - 2021

Work History

A

Azam Group

Software Engineering Intern

Sumbawanga
2021 - 2021