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Amine Zinoun

Amine Zinoun

Mathematical Reasoning Review

France flagParis, France
$20.00/hrIntermediateAws SagemakerAnno MageAppen

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
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ArgillaArgilla
Axiom AI
ClickworkerClickworker
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CrowdFlowerCrowdFlower
CrowdSourceCrowdSource
CVATCVAT
Data Annotation TechData Annotation Tech
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DatatroniqDatatroniq
DatumboxDatumbox
DatasaurDatasaur
DatatureDatature
DataturkDataturk
Deep SystemsDeep Systems
EncordEncord
Figure EightFigure Eight
Google Cloud Vertex AIGoogle Cloud Vertex AI
HastyHasty
Img Lab
Kili TechnologyKili Technology
LabelboxLabelbox
Label StudioLabel Studio
Mighty AIMighty AI
MindriftMindrift
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Snorkel AISnorkel AI
TolokaToloka
TelusTelus
Trilldata Technologies
V7 LabsV7 Labs
RemotasksRemotasks
Scale AIScale AI
Other

Top Subject Matter

Mathematics Domain Expertise
Mathematical Reasoning
Technical Documentation

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage
TextText

Top Task Types

ClassificationClassification
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Text GenerationText Generation
Text SummarizationText Summarization
Red TeamingRed Teaming
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Mathematical Reasoning Review. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Git. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

IntermediateFrenchSpanishArabicEnglish

Labeling Experience

Mathematical Reasoning Review

Text
I reviewed and evaluated mathematical reasoning outputs from AI models in alignment and accuracy. My focus was on ensuring logical structure and correctness in math problem-solving. I provided detailed assessments of each response for completeness and reliability. • Checked step-by-step solutions for coherence and correctness. • Ensured consistency in AI-generated mathematical answers. • Provided structured feedback to enhance model reliability. • Conducted in-depth analysis of mathematical reasoning patterns.

I reviewed and evaluated mathematical reasoning outputs from AI models in alignment and accuracy. My focus was on ensuring logical structure and correctness in math problem-solving. I provided detailed assessments of each response for completeness and reliability. • Checked step-by-step solutions for coherence and correctness. • Ensured consistency in AI-generated mathematical answers. • Provided structured feedback to enhance model reliability. • Conducted in-depth analysis of mathematical reasoning patterns.

2025 - Present

AI Data Reviewer and Annotator — Outlier AI

OtherText
I served as an AI Data Reviewer and Annotator, focusing on reviewing and annotating AI-generated responses in STEM domains. My tasks included evaluating AI outputs for accuracy and quality, as well as providing feedback to enhance model training data. I adhered closely to annotation guidelines to ensure technical excellence and consistency. • Reviewed and corrected AI-generated answers in Mathematics, Physics, and Computer Science • Evaluated responses for coherence, factuality, and educational value • Provided detailed feedback to improve training data quality • Ensured all annotations met rigorous standards for technical content

I served as an AI Data Reviewer and Annotator, focusing on reviewing and annotating AI-generated responses in STEM domains. My tasks included evaluating AI outputs for accuracy and quality, as well as providing feedback to enhance model training data. I adhered closely to annotation guidelines to ensure technical excellence and consistency. • Reviewed and corrected AI-generated answers in Mathematics, Physics, and Computer Science • Evaluated responses for coherence, factuality, and educational value • Provided detailed feedback to improve training data quality • Ensured all annotations met rigorous standards for technical content

2022 - Present

NLP Data Processing (Python)

TextData Collection
I preprocessed and cleaned textual data using Python for use in machine learning models. I applied NLP techniques to prepare high-quality datasets for AI training. This included tokenization, normalization, and filtering of raw texts. • Processed raw text for dataset creation and model input. • Ensured data consistency and removal of noise. • Utilized Python and industry-standard libraries for preprocessing. • Supported downstream NLP model accuracy and reliability.

I preprocessed and cleaned textual data using Python for use in machine learning models. I applied NLP techniques to prepare high-quality datasets for AI training. This included tokenization, normalization, and filtering of raw texts. • Processed raw text for dataset creation and model input. • Ensured data consistency and removal of noise. • Utilized Python and industry-standard libraries for preprocessing. • Supported downstream NLP model accuracy and reliability.

2025 - 2026

Git & Coding Review

I reviewed computer code for correctness and adherence to modern best practices in AI-related projects. I collaborated using version control tools to maintain high code quality. I actively participated in debugging and code improvement efforts. • Checked code for potential errors and inefficiencies. • Used Git for collaborative code review and version tracking. • Suggested improvements for code optimization and clarity. • Maintained quality standards in AI project codebases.

I reviewed computer code for correctness and adherence to modern best practices in AI-related projects. I collaborated using version control tools to maintain high code quality. I actively participated in debugging and code improvement efforts. • Checked code for potential errors and inefficiencies. • Used Git for collaborative code review and version tracking. • Suggested improvements for code optimization and clarity. • Maintained quality standards in AI project codebases.

2025 - 2026

LaTeX Formatting & Review

I reviewed and corrected LaTeX code for technical and mathematical documents produced by AI systems. My emphasis was on ensuring accuracy, proper formatting, and rendering of complex formulas. I improved document readability and formatting consistency. • Inspected LaTeX for errors in formula rendering. • Applied best practices in technical document structure. • Provided corrective feedback on faulty code segments. • Enhanced quality and clarity of technical outputs.

I reviewed and corrected LaTeX code for technical and mathematical documents produced by AI systems. My emphasis was on ensuring accuracy, proper formatting, and rendering of complex formulas. I improved document readability and formatting consistency. • Inspected LaTeX for errors in formula rendering. • Applied best practices in technical document structure. • Provided corrective feedback on faulty code segments. • Enhanced quality and clarity of technical outputs.

2024 - 2026

Education

U

University of Sultan Moulay Slimane

Bachelor's in Artificial Intelligence and Computer Science, Artificial Intelligence and Computer Science

Bachelor's in Artificial Intelligence and Computer Science
2024 - 2025
S

Sultan Moulay Slimane University

Bachelor of Science and Technology, Applied Physics and Chemistry

Bachelor of Science and Technology
2020 - 2021

Work History

R

ReeWayy SAS

Data Scientist and Backend Developer Intern

Paris
2025 - 2025
R

ReeWayy SAS

Data Scientist and Backend Developer

Paris
2025 - 2025