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Dan Otieno

Dan Otieno

Customer Success Manager | AI Training Data, Cybersecurity, Enterprise SaaS

United Kingdom flagLondon, United Kingdom
$65.00/hrExpertAppen

Key Skills

Software

AppenAppen

Top Subject Matter

Cybersecurity – Threat Detection, Network Security & Enterprise IT
Finance – Risk Analysis, Fraud Detection & Fintech Operations
Customer Support – Enterprise SaaS, Technical Support & Service Operations

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
Object DetectionObject Detection

Freelancer Overview

I have hands-on experience in AI data labeling through my work with Appen, where I contributed to projects focused on improving the accuracy and performance of machine learning models. My work involved reviewing, categorising, annotating, and validating different types of data according to detailed project guidelines, with a strong focus on quality, consistency, and meeting strict accuracy targets. This gave me practical exposure to how training data directly affects model performance and the importance of precision in every stage of the labeling process. What sets me apart is my ability to combine careful attention to detail with strong analytical thinking and reliability under structured workflows. I am comfortable working with complex instructions, adapting quickly to changing project requirements, and maintaining high standards across repetitive, quality-sensitive tasks. My background in technology and problem-solving also helps me understand the bigger picture of how labeled data supports AI systems, not just the task itself.

ExpertEnglishFinnish

Labeling Experience

AI Training Data Evaluator – Appen (Ongoing)

TextEvaluation Rating
I am currently working on an ongoing AI training data project involving data annotation, multimedia review, sentiment analysis, and search engine result evaluation. The scope of the work includes completing judgment-based tasks used to improve public AI systems and support machine learning model training. The project is performance-driven, with work allocated based on task availability, quality, and throughput. My responsibilities include reviewing data carefully, applying project-specific annotation guidelines, maintaining consistency across judgments, and meeting the required quality standards within the tool. The work requires strong attention to detail, efficiency, and the ability to handle a high volume of tasks accurately. Because it is an active project, I continue to contribute to evolving data workflows and quality-sensitive AI training operations. You can also use this shorter version if the box has a tight character limit: Ongoing AI training data project involving data annotation, multimedia review, sentiment analysis, and search engine result evaluation. Responsible for completing judgment-based tasks, following detailed guidelines, maintaining high accuracy and consistency, and supporting the improvement of machine learning models through quality-controlled data labeling.

I am currently working on an ongoing AI training data project involving data annotation, multimedia review, sentiment analysis, and search engine result evaluation. The scope of the work includes completing judgment-based tasks used to improve public AI systems and support machine learning model training. The project is performance-driven, with work allocated based on task availability, quality, and throughput. My responsibilities include reviewing data carefully, applying project-specific annotation guidelines, maintaining consistency across judgments, and meeting the required quality standards within the tool. The work requires strong attention to detail, efficiency, and the ability to handle a high volume of tasks accurately. Because it is an active project, I continue to contribute to evolving data workflows and quality-sensitive AI training operations. You can also use this shorter version if the box has a tight character limit: Ongoing AI training data project involving data annotation, multimedia review, sentiment analysis, and search engine result evaluation. Responsible for completing judgment-based tasks, following detailed guidelines, maintaining high accuracy and consistency, and supporting the improvement of machine learning models through quality-controlled data labeling.

2023 - Present

Education

H

Helsinki Metropolia University of Applied Sciences

Bachelor of Engineering, Information Technology

Bachelor of Engineering
Not specified
H

Helsinki Metropolia University of Applied Sciences

Master of Engineering, Industrial Management

Master of Engineering
Not specified

Work History

I

iboss

Customer Success Manager (Enterprise)

London
2021 - Present
T

Tufin Software Technologies

Customer Success / Technical Consultant (Cybersecurity)

London
2020 - 2021