Nashon Mweberi
Paris
Summary
Results-driven AI Data Trainer with extensive experience in training and evaluating artificial intelligence models. Adept at recording voice samples and assessing AI-generated content for accuracy, relevance, and safety. Passionate about enhancing AI communication skills through human-like interactions and structured evaluation. Skilled in data annotation, natural language processing (NLP), and AI ethics. Excels in fast-paced, research-driven environments that require attention to detail, analytical thinking, and collaboration with world-class AI researchers.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Senior AI Data Trainer
DeepMind AI
01.2021 - Current
- Spearheaded the training of advanced AI models by generating and refining extensive voice samples, improving conversational coherence by 35%
- Developed high-quality linguistic datasets for AI model improvement, ensuring a 98% accuracy rate in NLP-driven tasks
- Evaluated AI-generated responses for factual correctness, contextual appropriateness, and ethical considerations, contributing to a 40% reduction in biases within the AI system
- Led a team of junior AI trainers, mentoring them on industry best practices and data annotation methodologies
- Collaborated with AI researchers and engineers to refine evaluation protocols, enhancing model efficiency by 20%
AI Language Data Analyst
OpenAI Europe
01.2018 - 01.2021
- Conducted in-depth analysis of AI-generated content, assessing accuracy and linguistic clarity across multiple datasets
- Created dynamic training methodologies that optimized AI language processing capabilities, reducing response latency by 25%
- Evaluated voice samples and synthetic speech models, ensuring compliance with conversational AI standards
- Provided linguistic expertise in developing AI-generated translations, leading to a 92% accuracy rate in multilingual tasks
Data Annotation Specialist
Google AI
01.2015 - 01.2018
- Annotated and classified large volumes of training data to improve AI's understanding of human intent and sentiment
- Designed and executed rigorous AI evaluation tests, improving chatbot response accuracy by 30%
- Assisted in the development of AI-driven tools for detecting misinformation, improving content moderation capabilities
Education
Master of Science - Artificial Intelligence
Sorbonne University
France01.2016
High School Diploma - Mathematics & Computer Science
Lycée Louis-le-Grand
FranceBachelor of Science - Computer Science
École Polytechnique
France01.2014
Skills
- AI model training
- Conversational AI development
- Content assessment
- Sentiment analysis
- Text classification
- Entity recognition
- Speech data collection
- Linguistic dataset creation
- Sentiment tagging
- Python
- TensorFlow
- PyTorch
- SQL
- Jupyter Notebook
- Google Colab
- Analytical thinking
- Collaboration
- Problem-solving
- Adaptability
Certification
- Certified AI Trainer, Deep Learning Institute, 01/01/22
- Advanced NLP Certification, Coursera (Stanford University), 01/01/21
- Data Science for AI, Udacity, 01/01/20
- Ethics in AI, Harvard Online, 01/01/19
Languages
English
French
German
Hobbies and Interests
- AI Research & Development - Exploring emerging trends in machine learning and NLP advancements.
- Podcasting - Hosting discussions on AI ethics, technology trends, and data science innovations.
- Chess - Strategizing and improving cognitive decision-making skills.
- Traveling - Exploring new cultures and understanding linguistic diversity in AI models.
- Photography - Capturing and editing images with AI-enhanced tools.
Timeline
Senior AI Data Trainer
DeepMind AI
01.2021 - Current
AI Language Data Analyst
OpenAI Europe
01.2018 - 01.2021
Data Annotation Specialist
Google AI
01.2015 - 01.2018
Master of Science - Artificial Intelligence
Sorbonne University
High School Diploma - Mathematics & Computer Science
Lycée Louis-le-Grand
Bachelor of Science - Computer Science
École Polytechnique
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