Abdulrahman Q.

Key Skills

Software

Labelbox

Scale AI

SuperAnnotate

CVAT

Label Studio

Supervisely

Top Subject Matter

LLM reinforcement learning with human feedback (RLHF) evaluation for technical prompts (Python/STEM).

Multimodal AI-generated 3D visuals evaluation and QA.

Technical logic auditing and QA for code-based AI/simulation tooling.

Top Data Types

Text

3D Sensor

Top Task Types

RLHF

Freelancer Overview

Technical AI Content Specialist (RLHF). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Blender. Education includes Bachelor of Science, N/A (2023). AI-training focus includes data types such as Text, 3D Sensor, and Computer Code and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Technical AI Content Specialist (RLHF)

TextRLHF

Evaluated Side-by-Side (SBS) and ranking outputs using the HHH rubric (Helpfulness, Honesty, Harmlessness) to improve model behavior. Performed hallucination detection and technical fact checking for Python/STEM prompts, using ground-truth reasoning to assess logic and adherence to instructions. Provided structured feedback to strengthen reasoning quality and reduce incorrect or unsafe outputs. • Helpfulness/Honesty/Harmlessness scoring and comparative judgments (SBS) • Hallucination detection and technical fact checking for STEM prompts • Instruction-following and reasoning adherence evaluation • Feedback grounded in correct reasoning and auditing of responses

2024 - Present

Multimodal Data & 3D Analyst

3D Sensor

Assessed spatial consistency and 3D topology for AI-generated visuals to verify structural correctness. Conducted prompt alignment evaluation for text-to-3D outputs, ensuring technical accuracy between prompts and generated models/visuals. Completed visual QA for AI-generated images and videos to flag inconsistencies and quality issues. • Spatial consistency and 3D topology QA of AI-generated visuals • Prompt alignment checks for text-to-3D technical correctness • Visual quality assurance of AI-generated images/videos • Identification of spatial inconsistencies and visual QA findings

2023 - 2024

Technical Scripting & Logic Auditor

Built and debugged complex logic systems using Luau and Python, emphasizing correctness and reliable behavior of scripted environments. Conducted error analysis and quality assurance on software environments, focusing on identifying failure modes and improving logic interactions. Produced technical explanations of reasoning for complex script interactions to support correct understanding of system behavior. • Logic auditing and debugging of Luau/Python systems • Error analysis and software QA for correctness • Technical reasoning explanations for script interaction behavior • Quality-focused improvements to scripted logic behavior

2022 - 2023

Education

Work History