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Arthur G.

Arthur G.

Senior AI Trainer & Data Quality Analyst – Remote (Lead annotation and evaluation)

Kenya flagNairobi, Kenya

Key Skills

Software

Scale AIScale AI
Other

Top Subject Matter

Multilingual AI model training data
linguistic quality assurance
and dataset evaluation

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF

Freelancer Overview

Senior AI Trainer & Data Quality Analyst – Remote (Lead annotation and evaluation). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Other. Education includes Azure AI Engineer Associate, Microsoft (2025) and Master of Business Administration, University of Nairobi (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Data Annotater

VideoVideoTranscriptionTranscription

Transcribing video actions into time stamped texts and files.

2025 - Present

AI Trainer (Part-time) – Outlier AI (Scale AI Labs)

OtherTextTextRLHFRLHF

Performed AI training work for response review and reasoning refinement as part of AI model improvement efforts. Reviewed model outputs and applied feedback to support better alignment with expected behavior and reasoning quality. Contributed to the training workflow by evaluating responses against quality and policy expectations.• Training and review of AI model responses• Refinement of model reasoning as part of RLHF-style improvement• Quality evaluation and response scoring• Participation in iterative training workflows

2025 - Present
Scale AI

Senior AI Trainer & Data Quality Analyst – Remote (Lead annotation and evaluation)

Scale AIScale AITextText

Led annotation and evaluation of high-volume multilingual AI datasets to improve model accuracy and ensure output quality. Conducted linguistic quality assurance, semantic analysis, and enforced labeling guidelines to maintain consistency across examples. Mentored junior annotators on error detection and prompt evaluation to sustain performance under tight deadlines.• High-volume multilingual dataset annotation and evaluation• Linguistic quality assurance (LQA), semantic analysis, and guideline enforcement• Mentoring and training for junior annotators on best practices• Delivered consistent high-quality outputs within deadlines

2025 - Present

Data Anntotater

VideoVideoTranscriptionTranscription

Verbatim Captioning: Transcribing spoken dialogue into time-stamped text files. This trains voice assistants, meeting transcription software, and automated subtitling algorithms.

2025 - 2026

Education

U

University of Nairobi

Masters, Cybersecurity

Masters
2012 - 2014
U

University of Nairobi

Bachelor of Science, Computer Science

Bachelor of Science
2006 - 2010

Work History

S

Safaricom

Software Engineer

Nairobi
2017 - 2019
C

Crystal Technologies

Systems Analyst

Nairobi
2016 - 2016