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Maria Andrea MaggiMM
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Maria Andrea Maggi

@mariaandreamaggi

AI Trainer and LLM evaluation specialist improving GenAI quality with RLHF and human feedback.

Italy
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What I'm looking for

I’m looking for a fully remote role where I can evaluate and improve GenAI quality using RLHF and structured feedback, follow rigorous guidelines, and help strengthen trust & safety in production AI systems.

I’m an AI Trainer and LLM Evaluation Specialist with hands-on experience improving Large Language Models through Reinforcement Learning from Human Feedback (RLHF). I evaluate AI-generated responses using clear methodologies, structured feedback, and strict quality guidelines.

In fully remote international environments, I rank and compare LLM outputs through side-by-side evaluation. I assess instruction following, factual accuracy, reasoning quality, and safety, then provide detailed written justifications to support better production AI systems.

I also work across AI data annotation and content quality assessment, including prompt analysis, language evaluation, guideline compliance, AI output validation, and response ranking. My focus is on delivering consistent, reliable quality judgments that strengthen trust & safety and user outcomes.

Beyond my current AI work, I bring a strong operations mindset from earlier roles involving quality assurance, customer service, and administrative support. I’m passionate about Machine Learning, Generative AI, and AI Operations, and I continue building my foundation through certifications in progress.

Experience

Work history, roles, and key accomplishments

RWS Group logoRG
Current

AI Data Annotator

May 2026 - Present (3 months)

Perform AI data annotation for RLHF/LLM evaluation, including prompt analysis, language evaluation, and content quality assessment. Apply prompt engineering and guideline compliance, validate AI outputs, and complete Italian and English evaluation tasks.

IT
Current

AI Trainer & LLM Evaluation

Invisible Technologies

Apr 2026 - Present (4 months)

Evaluate AI-generated responses using RLHF methodologies, including side-by-side ranking and assessment of instruction following, factual accuracy, reasoning quality, and safety. Provide detailed written justifications while working independently under strict quality guidelines.

Education

Degrees, certifications, and relevant coursework

Maria Andrea hasn't added their education

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Tech stack

Software and tools used professionally

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