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Amaboh Ngu

Software Engineering & Data Science Consultant – RLHF/AI Training

UNITED_KINGDOM flag
London, United Kingdom
$45.00/hrIntermediateData Annotation TechGoogle Cloud Vertex AIRemotasks

Key Skills

Software

Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
RemotasksRemotasks

Top Subject Matter

Large Language Model Alignment
Software Engineering
AI Training

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

RLHF
Bounding Box
Segmentation
Classification
Entity Ner Classification
Question Answering
Text Summarization
Fine Tuning
Computer Programming Coding
Prompt Response Writing SFT
Text Generation
Object Detection

Freelancer Overview

Software Engineering & Data Science Consultant – RLHF/AI Training. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Brunel University London (2023) and Master of Banking and Finance, Université Catholique d'Afrique Centrale (2019). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including RLHF.

IntermediateFrenchEnglish

Labeling Experience

Software Engineering & Data Science Consultant – RLHF/AI Training

RLHF
As a Software Engineering & Data Science Consultant at Outlier AI, I contributed directly to RLHF pipelines by evaluating and ranking outputs from large language models. My work involved authoring and reviewing high-complexity prompts and reference solutions in Python, SQL, and ML, establishing high-quality benchmarks for LLM improvement. I identified and documented systematic failure modes, providing actionable, structured feedback to enhance model performance. • Evaluated and ranked computer code outputs for LLM refinement. • Authored and reviewed complex prompts and solutions for use in AI training datasets. • Provided feedback to target logical errors and efficiency issues in generated code. • Directly contributed benchmark data and evaluations for the development of next-generation LLMs.

As a Software Engineering & Data Science Consultant at Outlier AI, I contributed directly to RLHF pipelines by evaluating and ranking outputs from large language models. My work involved authoring and reviewing high-complexity prompts and reference solutions in Python, SQL, and ML, establishing high-quality benchmarks for LLM improvement. I identified and documented systematic failure modes, providing actionable, structured feedback to enhance model performance. • Evaluated and ranked computer code outputs for LLM refinement. • Authored and reviewed complex prompts and solutions for use in AI training datasets. • Provided feedback to target logical errors and efficiency issues in generated code. • Directly contributed benchmark data and evaluations for the development of next-generation LLMs.

2025 - Present

Education

B

Brunel University London

Master of Science, Data Science and Analytics

Master of Science
2022 - 2023
U

Université Catholique d'Afrique Centrale

Master of Banking and Finance, Banking and Finance

Master of Banking and Finance
2017 - 2019

Work History

A

Afrimat

Founding Software Engineer

London
2025 - Present
M

MySkinCi

Machine Learning Engineer

London
2023 - 2025