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Ali Ben Djoudi Ouadda

Ali Ben Djoudi Ouadda

Generative AI Subject Matter Expert (SME): Biomedical LLM SFT, RLHF, and Evaluative Data Annotation

Canada flagMontreal, Canada
$80.00/hrIntermediateOtherMercorOneforma

Key Skills

Software

Other
MercorMercor
OneFormaOneForma
Scale AIScale AI
Data Annotation TechData Annotation Tech
CrowdFlowerCrowdFlower
AppenAppen

Top Subject Matter

Biomedical Domain Expertise
Scientific Research
AI/LLM Evaluation

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Object DetectionObject Detection
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Generative AI Subject Matter Expert (SME): Biomedical LLM SFT, RLHF, and Evaluative Data Annotation. Brings 26+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, McGill University, Research Institute of MUHC (2016) and Master of Science, Université de Montréal, CHU Ste-Justine Research Center (2008). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

IntermediateEnglishFrench

Labeling Experience

Generative AI Subject Matter Expert (SME): Biomedical LLM SFT, RLHF, and Evaluative Data Annotation

TextPrompt Response Writing SFT
As a Generative AI Subject Matter Expert, I engineered and refined specialized prompts for the training, evaluation, and benchmarking of large language models (LLMs) focused on biomedical and scientific topics. I performed quality assurance on data annotations, reviewed and edited AI-generated responses, and authored expert-level 'gold standard' data for model training. My work involved testing, evaluating, and iteratively refining model outputs in collaboration with a multidisciplinary team. • Developed and edited prompt-response pairs for SFT and RLHF in scientific domains. • Conducted quality assurance and provided detailed feedback on LLM output accuracy. • Benchmarked model performance using expert-authored responses across diverse topics. • Collaborated extensively with AI professionals and other subject-matter experts.

As a Generative AI Subject Matter Expert, I engineered and refined specialized prompts for the training, evaluation, and benchmarking of large language models (LLMs) focused on biomedical and scientific topics. I performed quality assurance on data annotations, reviewed and edited AI-generated responses, and authored expert-level 'gold standard' data for model training. My work involved testing, evaluating, and iteratively refining model outputs in collaboration with a multidisciplinary team. • Developed and edited prompt-response pairs for SFT and RLHF in scientific domains. • Conducted quality assurance and provided detailed feedback on LLM output accuracy. • Benchmarked model performance using expert-authored responses across diverse topics. • Collaborated extensively with AI professionals and other subject-matter experts.

2025 - Present

Scientific Consultant (Freelancer): Scientific Data Annotation for Biopharma AI/ML

OtherTextPrompt Response Writing SFT
As a Scientific Consultant and annotator for Outlier, DataAnnotation, Alignerr, and Kolabtree, I provided scientific labeling and data annotation for AI/ML applications in biopharma. I ensured domain-accurate annotations by collaborating with research and engineering teams and transforming complex challenges into effective AI solutions. My contributions enhanced AI model training quality for the biomedical field. • Delivered expert-curated biomedical prompt and annotation data for AI applications. • Liaised with biopharma clients to define and refine labeling criteria and quality standards. • Aligned annotation structure with specific machine learning goals and validation protocols. • Contributed to cross-disciplinary teams supporting AI-driven scientific projects.

As a Scientific Consultant and annotator for Outlier, DataAnnotation, Alignerr, and Kolabtree, I provided scientific labeling and data annotation for AI/ML applications in biopharma. I ensured domain-accurate annotations by collaborating with research and engineering teams and transforming complex challenges into effective AI solutions. My contributions enhanced AI model training quality for the biomedical field. • Delivered expert-curated biomedical prompt and annotation data for AI applications. • Liaised with biopharma clients to define and refine labeling criteria and quality standards. • Aligned annotation structure with specific machine learning goals and validation protocols. • Contributed to cross-disciplinary teams supporting AI-driven scientific projects.

2025 - 2025

Education

K

Kriger Research Center

Certificate, Clinical Research

Certificate
2020 - 2020
U

Université de Montréal

Certificate, Drug Discovery

Certificate
2019 - 2019

Work History

I

Institut De Recherches Cliniques De Montréal

Research Associate

Montreal
2019 - 2024
I

Institut De Recherches Cliniques De Montréal

Postdoctoral Scientist

Montreal
2016 - 2019