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John Qurix

John Qurix

AI Model Governance & Evaluation Specialist

United Kingdom flagLondon, United Kingdom
$50.00/hrIntermediateMercorMindriftOneforma

Key Skills

Software

MercorMercor
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
TelusTelus
ClickworkerClickworker
Data Annotation TechData Annotation Tech

Top Subject Matter

LLM Output Safety & Compliance for Code Generation (Python/SQL)
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
AudioAudio

Top Task Types

RLHF
Text Generation
Question Answering
Prompt Response Writing SFT

Freelancer Overview

AI Model Governance & Evaluation Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Wolverhampton (2025) and Bachelor of Science, Ahmadu Bello University. AI-training focus includes data types such as Text and labeling workflows including RLHF.

IntermediateEnglish

Labeling Experience

AI Model Governance & Evaluation Specialist

TextRLHF
Served as an AI Model Governance & Evaluation Specialist conducting rigorous RLHF for large language models to optimize output safety and compliance. Designed human feedback tasks and evaluation protocols specific to generative AI coding outputs. Delivered comprehensive assessment reports to influence model improvements within enterprise governance frameworks. • Reduced hallucination rates for AI-generated code by approximately 18%. • Reviewed and rated LLM model outputs for Python and SQL code generation. • Ensured model alignment with compliance standards for regulated industries. • Collaborated remotely with model developers through continuous feedback cycles.

Served as an AI Model Governance & Evaluation Specialist conducting rigorous RLHF for large language models to optimize output safety and compliance. Designed human feedback tasks and evaluation protocols specific to generative AI coding outputs. Delivered comprehensive assessment reports to influence model improvements within enterprise governance frameworks. • Reduced hallucination rates for AI-generated code by approximately 18%. • Reviewed and rated LLM model outputs for Python and SQL code generation. • Ensured model alignment with compliance standards for regulated industries. • Collaborated remotely with model developers through continuous feedback cycles.

2024 - Present

Education

U

University of Wolverhampton

Master of Science, Artificial Intelligence

Master of Science
2024 - 2025
A

Ahmadu Bello University

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

N

NatWest

Agentic AI Engineer

London
2025 - Present
O

Outlier.AI

AI Model Governance & Evaluation Specialist

Remote
2024 - Present