For employers

Hire this AI Trainer

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

LoginCreate account
Invite to Job
Z
Zoe Monday

Zoe Monday

RLHF Systemic Alignment - LLM Factuality & Safety Engineer

Nigeria flagPort Harcourt, Nigeria
$25.00/hrExpertCVATAws SagemakerDoccano

Key Skills

Software

CVATCVAT
AWS SageMakerAWS SageMaker
DoccanoDoccano
Label StudioLabel Studio
Scale AIScale AI
AppenAppen

Top Subject Matter

LLM Factuality & Safety
High-Density Mapping AI
Prompt Engineer

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

RLHFRLHF
SegmentationSegmentation

Freelancer Overview

RLHF Systemic Alignment - LLM Factuality & Safety Engineer. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, N/A (2021). AI-training focus includes data types such as Text, Geospatial, and Tiled Imagery and labeling workflows including RLHF and Segmentation.

ExpertEnglishIgbo

Labeling Experience

Geospatial Data Engineering - Satellite Imagery Annotation Lead

Segmentation
I designed a specialized labeling ontology and quality assurance pipeline for Geospatial AI involving satellite imagery annotation. The focus was on training infrastructure-recognition models with pixel-level segmentation requiring domain-specific expertise. My work enabled higher mapping accuracy and efficiency compared to generalist annotation teams. • Leveraged expertise in Geography and Planning • Built cross-referenced QA workflows using ground-truth and spectral data • Oversaw annotation of 5,000+ satellite images for mapping AI • Improved labeling speed and eliminated critical mapping errors

I designed a specialized labeling ontology and quality assurance pipeline for Geospatial AI involving satellite imagery annotation. The focus was on training infrastructure-recognition models with pixel-level segmentation requiring domain-specific expertise. My work enabled higher mapping accuracy and efficiency compared to generalist annotation teams. • Leveraged expertise in Geography and Planning • Built cross-referenced QA workflows using ground-truth and spectral data • Oversaw annotation of 5,000+ satellite images for mapping AI • Improved labeling speed and eliminated critical mapping errors

2019 - 2023

RLHF Systemic Alignment - LLM Factuality & Safety Engineer

TextRLHF
I architected and implemented a Triple-Stage Prompting Loop for a large language model to enhance factuality and safety using RLHF techniques. This system involved generating draft responses, auditing for logical fallacies, and synthesizing outputs for factual accuracy. The initiative led to a measurable reduction in model hallucinations and significantly improved injection resistance. • Developed Chain-of-Thought reasoning workflows • Designed adversarial audit prompts for critical system review • Integrated synthesis for factuality and safety in LLM responses • Achieved 22% hallucination reduction and 98% injection resistance

I architected and implemented a Triple-Stage Prompting Loop for a large language model to enhance factuality and safety using RLHF techniques. This system involved generating draft responses, auditing for logical fallacies, and synthesizing outputs for factual accuracy. The initiative led to a measurable reduction in model hallucinations and significantly improved injection resistance. • Developed Chain-of-Thought reasoning workflows • Designed adversarial audit prompts for critical system review • Integrated synthesis for factuality and safety in LLM responses • Achieved 22% hallucination reduction and 98% injection resistance

2019 - 2023

Education

U

UNIVERSITY OF THE PEOPLE

B.Sc, COMPUTER SCIENCE

B.Sc
2022 - 2026
K

KOGI STATE UNIVERSITY, ANYIGBA

Bachelor of Science, Geography and Planning

Bachelor of Science
2012 - 2016

Work History

T

Tech Profit AI Solutions

Senior AI Systems & Prompt Engineer

Port Harcourt
2018 - Present
T

TECH PROFIT AI SOLUTIONS

GEOSPACIAL ANALYSIS & URBAN PLANNING

PORT HARCOURT
2024 - 2024