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Outhman Abbassi

Outhman Abbassi

AI Model Evaluator & Output Validator

Morocco flagRabat, Morocco
$40.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

STEM (science, technology, engineering, mathematics)
molecular simulation
deep learning

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Question Answering
Fine Tuning
Classification

Freelancer Overview

AI Model Evaluator & Output Validator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Mohammed V University, Faculty of Science (2021) and Master of Science, Mohammed V University, Faculty of Science (2021). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Question Answering, Fine-tuning, and Evaluation.

ExpertEnglish

Labeling Experience

AI Developer – Medical Image Annotation

Classification
I annotated and graded retinal fundus images based on the ICDR clinical scale to build training datasets for diabetic retinopathy models. I validated deep learning outputs against expert-labeled ground truth and corrected misclassifications. My work improved dataset quality for medical image analysis in diabetic retinopathy projects. • Labeled images using 5-class severity grading according to ICDR. • Assessed model accuracy through iterative validation and correction. • Focused on medical imaging and retinal disease classification. • Supported model and dataset alignment with clinical standards.

I annotated and graded retinal fundus images based on the ICDR clinical scale to build training datasets for diabetic retinopathy models. I validated deep learning outputs against expert-labeled ground truth and corrected misclassifications. My work improved dataset quality for medical image analysis in diabetic retinopathy projects. • Labeled images using 5-class severity grading according to ICDR. • Assessed model accuracy through iterative validation and correction. • Focused on medical imaging and retinal disease classification. • Supported model and dataset alignment with clinical standards.

2025 - Present

AI Model Evaluator & Output Validator

TextQuestion Answering
I designed and labeled domain-specific problem and answer pairs in AI, physics, chemistry, and biology to train and benchmark deep learning models. I applied structured scoring rubrics to evaluate multi-step AI-generated solutions for correctness and scientific accuracy. I validated numerical outputs and simulations using the scientific Python stack to ensure ground-truth dataset quality. • Dataset annotation included multi-step STEM problems for deep learning training. • Applied scoring rubrics to output for constraint compliance and accuracy. • Annotated molecular graph data for GNNs with node/edge labeling. • Used Python tools (NumPy, SciPy, Pandas) for validation and processing.

I designed and labeled domain-specific problem and answer pairs in AI, physics, chemistry, and biology to train and benchmark deep learning models. I applied structured scoring rubrics to evaluate multi-step AI-generated solutions for correctness and scientific accuracy. I validated numerical outputs and simulations using the scientific Python stack to ensure ground-truth dataset quality. • Dataset annotation included multi-step STEM problems for deep learning training. • Applied scoring rubrics to output for constraint compliance and accuracy. • Annotated molecular graph data for GNNs with node/edge labeling. • Used Python tools (NumPy, SciPy, Pandas) for validation and processing.

2023 - Present

Research Mentor & Annotation Quality Reviewer

Text
I reviewed and quality-checked annotated STEM datasets produced by junior researchers to ensure scientific correctness. I defined annotation guidelines and scoring rubrics for STEM model training pipelines. I mentored Ph.D. students on dataset rigor and alignment with AI labeling standards. • Regularly audited annotation work for data integrity. • Established criteria for multi-step STEM dataset construction. • Provided feedback loops to improve annotation quality. • Oversaw annotation guideline adherence and error correction.

I reviewed and quality-checked annotated STEM datasets produced by junior researchers to ensure scientific correctness. I defined annotation guidelines and scoring rubrics for STEM model training pipelines. I mentored Ph.D. students on dataset rigor and alignment with AI labeling standards. • Regularly audited annotation work for data integrity. • Established criteria for multi-step STEM dataset construction. • Provided feedback loops to improve annotation quality. • Oversaw annotation guideline adherence and error correction.

2022 - Present

LLM Fine-Tuning Data Annotator & Evaluator

TextFine Tuning
I created and curated instruction-response training pairs for fine-tuning large language models on banking domain data. I evaluated AI-generated responses for factuality, relevance, and logical consistency using RLHF-style preference ranking. I labeled and reviewed conversational texts for safety and annotation quality. • Conducted annotation of thousands of conversational data samples. • Flagged hallucinations, logical errors, and unsafe outputs. • Applied annotation guidelines for maintaining consistency. • Collaborated with a team to ensure inter-annotator agreement.

I created and curated instruction-response training pairs for fine-tuning large language models on banking domain data. I evaluated AI-generated responses for factuality, relevance, and logical consistency using RLHF-style preference ranking. I labeled and reviewed conversational texts for safety and annotation quality. • Conducted annotation of thousands of conversational data samples. • Flagged hallucinations, logical errors, and unsafe outputs. • Applied annotation guidelines for maintaining consistency. • Collaborated with a team to ensure inter-annotator agreement.

2024 - 2024

Education

M

Mohammed V University, Faculty of Science

Master of Science, Data Engineering and Web Development

Master of Science
2019 - 2021
M

Mohammed V University, Faculty of Science

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2016 - 2019

Work History

V

Vision Clinic

AI Developer

Rabat
2025 - Present
I

IPSS

AI Research Scientist

Rabat
2023 - Present