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Data Annotation Tech
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RLHF
Data Collection
Red TeamingAI Data Specialist & Core Contributor | DataAnnotation.tech & Outlier. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Data Annotation Tech and Don't disclose. Education includes Bachelor of Science, University of Naples Parthenope (2023) and Scientific High School Diploma, High School "Emilio Segrè" (2023). AI-training focus includes data types such as Text and labeling workflows including RLHF, Data Collection, and Red Teaming.
TextRed TeamingEvaluated and optimized high-complexity LLM outputs with a focus on logical reasoning, instruction-following, and safety alignment. Conducted red-teaming and prompt engineering by designing multi-turn and edge-case scenarios to stress-test model behavior. Performed QA and peer review on complex datasets to improve quality standards and ensure compliance with truthfulness and legal obligations.
TextData CollectionCoordinate and manage an independent logistics/delivery workflow that supports operational data collection and performance tracking. Maintain reliable execution under time constraints to ensure collected operational signals remain accurate. Use mobile and GPS tooling daily to capture and support route/efficiency data used for downstream optimization. • Manage delivery schedules and operational autonomy to ensure timely task completion. • Maintain high satisfaction metrics through proactive communication and problem resolution. • Use mobile app and GPS optimization tools to support route and efficiency data capture. • Ensure operational consistency to preserve quality of collected logistics signals.
Data Annotation TechTextRLHFServe as an AI Data Specialist and core contributor optimizing LLM outputs using Reinforcement Learning from Human Feedback (RLHF). Perform evaluation for logical reasoning, instruction-following, and safety/alignment to improve model trustworthiness. Build and validate training signals by applying rigorous QA and peer review processes on complex datasets. • Evaluate high-complexity LLM outputs for reasoning quality and instruction compliance. • Use red teaming with multi-turn prompts and edge cases to stress-test truthfulness and legal safety constraints. • Conduct QA assessments and peer reviews to refine and standardize other analysts’ work. • Contribute to priority training projects based on consistent high-tier performance and data accuracy.
Scientific High School Diploma, Applied Sciences
Bachelor of Science, Management of International Businesses
AI Data Specialist
Logistics and Delivery Contractor
