Newton L.

Key Skills

Software

Appen

Other

Top Subject Matter

Fraud detection

identity verification

risk analysis

Top Data Types

Image

Text

Document

Top Task Types

Data Collection

Bounding Box

Freelancer Overview

Senior AI Data Collection Specialist | CrowdGen/Appen Projects. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Master of Science, University of Nairobi (2023) and Bachelor of Business Information Technology, Jomo Kenyatta University of Agriculture & Technology (2019). AI-training focus includes data types such as Image and labeling workflows including Data Collection and Bounding Box.

Labeling Experience

Senior AI Data Collection Specialist | CrowdGen/Appen Projects

AppenImageData Collection

As a Senior AI Data Collection Specialist at CrowdGen and Appen, I collected and submitted structured videos and images for use in AI fraud-detection and identity verification models. I executed data capture using mobile and proprietary tools, focusing on strict client specifications and metadata accuracy. I played a critical role in supporting dataset integrity, ensuring model improvements and reliable outcomes. • Maintained 100% acceptance rate across multiple video/image projects. • Reduced duplicate data and increased dataset diversity for real-world use. • Ensured uniqueness, proper framing, lighting, and precise metadata for submissions. • Worked with remote/mobile platforms to streamline large-scale data collection.

2023 - Present

AI Data Analyst & Computer Vision Contributor | Upwork & Fiverr

OtherImageBounding Box

As an AI Data Analyst and Computer Vision Contributor on Upwork and Fiverr, I performed video recording, image labeling, bounding boxes, and dataset auditing for multiple machine learning projects. My work involved object recognition, retail fraud prevention, and scene classification. I ensured annotation accuracy and enhanced client deliverables for AI training purposes. • Achieved repeat contracts and excellent client ratings. • Identified and corrected annotation errors for improved dataset usability. • Provided feedback on guidelines to refine the annotation process. • Supported object-based labeling aligned to client-driven specifications.

2021 - 2022

Machine Learning Data Research Assistant | University of Nairobi

OtherImageData Collection

As a Machine Learning Data Research Assistant at the University of Nairobi, I assisted in designing data collection protocols and supporting dataset cleaning, validation, and bias reduction on computer vision research projects. My efforts focused on enhancing data quality and reducing biases in academic AI research datasets. I contributed to documentation supporting AI experimentation within the lab setting. • Developed and implemented controlled data capture procedures. • Ensured high-quality imagery and consistency in data labeling standards. • Collaborated with faculty to identify and address data bias. • Supported the validation and cleaning of academic datasets for research accuracy.

2020 - 2021

Education

Work History