For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
D

Daniel Kamau

Data Scientist

Hungary flagDebrecen, Hungary
$25.00/hrIntermediateImeritLabelboxMindrift

Key Skills

Software

iMeritiMerit
LabelboxLabelbox
MindriftMindrift
TolokaToloka

Top Subject Matter

Finance-Risk Analysis & Fraud Detection
E-commerce - Product Categorization & Customer Support

Top Data Types

Computer Code ProgrammingComputer Code Programming
VideoVideo
TextText

Top Task Types

Text Summarization
Computer Programming Coding
Evaluation Rating

Freelancer Overview

I possess extensive experience in high-volume data labeling and AI training, specializing in Reinforcement Learning from Human Feedback and supervised fine-tuning. I excel at evaluating model outputs for factual accuracy, reasoning, and safety, ensuring the production of high-fidelity ground truth data. By applying rigorous taxonomies to complex datasets, I bridge the gap between raw information and model performance to ensure strict alignment with human intent. What sets me apart is my proficiency in handling multi-modal data including text, image, and code while maintaining a sharp focus on edge-case identification and bias mitigation. I leverage advanced annotation tools to provide granular feedback that directly informs model optimization and improves helpfulness scores. My technical precision and understanding of AI ethics allow me to deliver high quality datasets that significantly accelerate model convergence and responsible development.

IntermediateEnglishSwahili

Labeling Experience

Data Annotator

VideoText Generation
In my data annotation project, I performed high granularity labeling of dual-arm robotic assembly sequences, meticulously documenting the interactions of the two arms with objects like block assemblies and stickers. I focused on identifying both successful and failed state-action-outcome sequences while adhering to strict quality measures, including the standardization of hardware as proper nouns and the elimination of linguistic redundancies to ensure dataset consistency for machine learning training.

In my data annotation project, I performed high granularity labeling of dual-arm robotic assembly sequences, meticulously documenting the interactions of the two arms with objects like block assemblies and stickers. I focused on identifying both successful and failed state-action-outcome sequences while adhering to strict quality measures, including the standardization of hardware as proper nouns and the elimination of linguistic redundancies to ensure dataset consistency for machine learning training.

2025 - Present

Education

K

Kenyatta University

Bachelor of Science, Actuarial Science

Bachelor of Science
2018 - 2022
U

University of Debrecen

Master of Science, Data Science

Master of Science
2025

Work History

Z

Zamara Actuaries, Administrators and Consultants

Actuarial Analyst

Nairobi
2022 - 2025