For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
M
Mohammed Guissi

Mohammed Guissi

AI Contributor – LLM Evaluation & Prompt Engineering | Alignerr

Morocco flagFès, Morocco
$34.00/hrExpertVottTrilldata TechnologiesSupervisely

Key Skills

Software

VoTT
Trilldata Technologies
SuperviselySupervisely
Snorkel AISnorkel AI
SuperAnnotateSuperAnnotate
PlaymentPlayment
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
LabelboxLabelbox
LightTagLightTag
HiveMindHiveMind
Google Cloud Vertex AIGoogle Cloud Vertex AI
Deep SystemsDeep Systems
DoccanoDoccano
DataloopDataloop
Data Annotation TechData Annotation Tech
CrowdFlowerCrowdFlower
ClickworkerClickworker
Other

Top Subject Matter

AI Training
LLM Evaluation
Rlhf Domain Expertise

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
Text SummarizationText Summarization
TranscriptionTranscription
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Evaluation/RatingEvaluation/Rating
Red TeamingRed Teaming
RLHFRLHF

Freelancer Overview

AI Contributor – LLM Evaluation & Prompt Engineering | Alignerr. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Engineering Degree, ENSA de Fès (2024) and Preparatory Class for Grandes Écoles, Classes Préparatoires (2024). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglishFrenchArabic

Labeling Experience

Top 10 (2nd year) AI Contributor – LLM Evaluation & Prompt Engineering

OtherTextRLHF
This role involved evaluating and benchmarking large language model (LLM) outputs for quality, accuracy, and alignment. I authored and applied complex prompts, annotated LLM responses for reinforcement learning from human feedback (RLHF), and provided structured evaluation against safety and instruction-following criteria. I also contributed actionable feedback to improve frontier AI systems at Alignerr. • Labeled and scored AI assistant responses using detailed rubrics. • Authored multi-step prompts for robust LLM evaluation. • Identified edge cases and systematic failure modes in AI outputs. • Developed quality reports and contributed to large-scale model alignment projects.

This role involved evaluating and benchmarking large language model (LLM) outputs for quality, accuracy, and alignment. I authored and applied complex prompts, annotated LLM responses for reinforcement learning from human feedback (RLHF), and provided structured evaluation against safety and instruction-following criteria. I also contributed actionable feedback to improve frontier AI systems at Alignerr. • Labeled and scored AI assistant responses using detailed rubrics. • Authored multi-step prompts for robust LLM evaluation. • Identified edge cases and systematic failure modes in AI outputs. • Developed quality reports and contributed to large-scale model alignment projects.

2024 - Present

SAGU — Production NLP Pipeline (ALTEN Morocco)

OtherTextClassification
As part of the SAGU production NLP project, I developed a custom annotation schema for classifying industrial IT tickets. I conducted iterative labeling, structured data quality validation, and enabled supervised retraining yielding high-precision production results. This workflow involved rigorous validation against real-world ticket data. • Developed and maintained ticket labeling schema. • Conducted text classification and annotation on thousands of items. • Validated annotation quality for iterative model upgrades. • Supported high-recall production deployment through accurate labels.

As part of the SAGU production NLP project, I developed a custom annotation schema for classifying industrial IT tickets. I conducted iterative labeling, structured data quality validation, and enabled supervised retraining yielding high-precision production results. This workflow involved rigorous validation against real-world ticket data. • Developed and maintained ticket labeling schema. • Conducted text classification and annotation on thousands of items. • Validated annotation quality for iterative model upgrades. • Supported high-recall production deployment through accurate labels.

2025 - 2025

AI Intern – NLP & ML Systems (Production) | ALTEN Morocco

OtherTextClassification
I designed and deployed end-to-end NLP annotation pipelines for IT service tickets as part of a production internship. My tasks included structured categorical labeling, intent classification, and priority scoring on real text datasets using transformer models (CamemBERT, PyTorch). I also implemented an anomaly labeling module for real-time data-driven detection. • Built and managed automated annotation workflows. • Labeled thousands of support tickets for supervised learning. • Integrated ML-based anomaly labeling with NLP pipelines. • Used a modern stack (Python, PyTorch, Streamlit) for deployment and validation.

I designed and deployed end-to-end NLP annotation pipelines for IT service tickets as part of a production internship. My tasks included structured categorical labeling, intent classification, and priority scoring on real text datasets using transformer models (CamemBERT, PyTorch). I also implemented an anomaly labeling module for real-time data-driven detection. • Built and managed automated annotation workflows. • Labeled thousands of support tickets for supervised learning. • Integrated ML-based anomaly labeling with NLP pipelines. • Used a modern stack (Python, PyTorch, Streamlit) for deployment and validation.

2025 - 2025

DeepTrue — Deepfake & Disinformation Detection

OtherDocumentClassification
I contributed to the training of AI models for detecting synthetic media and online disinformation. My responsibilities included annotating documents to train a binary classifier for deepfake and fake news identification. This required careful review and categorization of media authenticity. • Annotated documents and media for binary classification. • Supported deepfake and disinformation detection model training. • Applied structured criteria to assess information veracity. • Enhanced model reliability through comprehensive data labeling.

I contributed to the training of AI models for detecting synthetic media and online disinformation. My responsibilities included annotating documents to train a binary classifier for deepfake and fake news identification. This required careful review and categorization of media authenticity. • Annotated documents and media for binary classification. • Supported deepfake and disinformation detection model training. • Applied structured criteria to assess information veracity. • Enhanced model reliability through comprehensive data labeling.

Not specified

MedTriage-AI — AI-Powered Medical Triage System

OtherTextClassification
In this medical triage AI project, I designed the labeling schema for urgency classification from patient text inputs. This task involved annotating clinical narratives to support supervised learning for emergency prioritization. My work contributed to reliable AI-driven emergency detection. • Created urgency classification labels for medical text. • Labeled patient input data for triage model training. • Ensured clinical annotation accuracy and consistency. • Improved AI triage system outputs through precise labeling.

In this medical triage AI project, I designed the labeling schema for urgency classification from patient text inputs. This task involved annotating clinical narratives to support supervised learning for emergency prioritization. My work contributed to reliable AI-driven emergency detection. • Created urgency classification labels for medical text. • Labeled patient input data for triage model training. • Ensured clinical annotation accuracy and consistency. • Improved AI triage system outputs through precise labeling.

Not specified

Education

C

Classes Préparatoires

Preparatory Class for Grandes Écoles, Mathematics and Physics

Preparatory Class for Grandes Écoles
2022 - 2024
C

Classes Préparatoires

Preparatory Classes for Grandes Écoles, Mathematics and Physics

Preparatory Classes for Grandes Écoles
2022 - 2024

Work History

R

regional student sports tournament organization

▸ Founder & President, Olympiade Fès

Location not specified
2024 - Present
I

Independent

Freelance AI & Full-Stack Developer

Fès
2024 - Present