Abdulrahman Ibrahim

Key Skills

Software

Scale AI

CVAT

Labelbox

Other

Data Annotation Tech

Google Cloud Vertex AI

Top Subject Matter

Stem Domain Expertise

Software logic

Technical writing

Top Data Types

Computer Code Programming

Text

Document

Image

Top Task Types

Entity Ner Classification

RLHF

Classification

Question Answering

Computer Programming Coding

Text Generation

Bounding Box

Freelancer Overview

RLHF and AI Evaluation Annotator. Core strengths include uTest and Testlio. AI-training focus includes data types such as Text and labeling workflows including RLHF.

Labeling Experience

Image Annotation and Data Labeling Contributor

CVATTextClassificationRLHF

I conducted Reinforcement Learning from Human Feedback (RLHF) to improve language model performance, focusing on STEM and software logic subject matter. Duties involved evaluating responses from AI systems for mathematical and structural accuracy, ranking outputs, and flagging safety or logic errors. Step-by-step reasoning verification and prompt consistency audit were also key parts of my workflow. • Used uTest and Testlio as annotation and evaluation platforms. • Assessed logical flow and correctness for technical and academic prompts. • Specialized in STEM-focused prompt engineering and ranking. • Produced detailed documentation of errors and edge-case handling.

I conducted Reinforcement Learning from Human Feedback (RLHF) to improve language model performance, focusing on STEM and software logic subject matter. Duties involved evaluating responses from AI systems for mathematical and structural accuracy, ranking outputs, and flagging safety or logic errors. Step-by-step reasoning verification and prompt consistency audit were also key parts of my workflow. • Used uTest and Testlio as annotation and evaluation platforms. • Assessed logical flow and correctness for technical and academic prompts. • Specialized in STEM-focused prompt engineering and ranking. • Produced detailed documentation of errors and edge-case handling.

2022 - Present

Technical Subject Matter Expert Structural Engineering/software engineering

TextRLHF

Performed high-level data validation and RLHF for Large Language Models (LLMs) specifically focused on STEM and Engineering accuracy. My tasks involved auditing AI-generated responses for structural mechanics, verifying complex calculations against BS 5950 design codes, and ensuring logical 'Chain of Thought' reasoning in solving beam stress and footing design problems. I maintained a 98% accuracy rating across all technical validation tasks.

Performed high-level data validation and RLHF for Large Language Models (LLMs) specifically focused on STEM and Engineering accuracy. My tasks involved auditing AI-generated responses for structural mechanics, verifying complex calculations against BS 5950 design codes, and ensuring logical 'Chain of Thought' reasoning in solving beam stress and footing design problems. I maintained a 98% accuracy rating across all technical validation tasks.

2025 - 2025

Education

Work History