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Dany Majed

STEM Expert AI Data Trainer, Invisible Technologies

UNITED_KINGDOM flag
London, United Kingdom
$25.00/hrIntermediateDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

Engineering/Technical Documentation

Top Data Types

ImageImage
DocumentDocument
VideoVideo

Top Task Types

Data Collection
Evaluation Rating
Transcription
Fine Tuning
RLHF
Text Summarization
Question Answering
Object Detection
Classification

Freelancer Overview

STEM Expert AI Data Trainer, Invisible Technologies. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Engineering with Honours, University of Nottingham (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

IntermediateArabicFrenchEnglishTurkish

Labeling Experience

STEM Expert AI Data Trainer, Invisible Technologies

OtherText
Developed and validated technical documentation for AI model training with a focus on engineering applications, ensuring high accuracy and relevance to the subject matter. Provided real-time feedback to improve AI reasoning and performance on complex engineering problems. Collaborated with technical teams to streamline annotation workflows and enhance model learning processes. • Ensured accuracy in AI-generated solutions for thermodynamics, dynamics, and statics. • Achieved a quantified improvement in model performance following training interventions. • Optimized annotation and QA procedures for engineering-related data. • Employed engineering SME knowledge for in-depth review and feedback cycles.

Developed and validated technical documentation for AI model training with a focus on engineering applications, ensuring high accuracy and relevance to the subject matter. Provided real-time feedback to improve AI reasoning and performance on complex engineering problems. Collaborated with technical teams to streamline annotation workflows and enhance model learning processes. • Ensured accuracy in AI-generated solutions for thermodynamics, dynamics, and statics. • Achieved a quantified improvement in model performance following training interventions. • Optimized annotation and QA procedures for engineering-related data. • Employed engineering SME knowledge for in-depth review and feedback cycles.

2024 - Present

Education

U

University of Nottingham

Master of Engineering with Honours, Aerospace Engineering

Master of Engineering with Honours
2019 - 2024

Work History

A

Altra Flora Botanical Extracts

Design Engineer

Denizli
2022 - 2023
U

University of Nottingham

Student Ambassador

Nottingham
2019 - 2020