Sami Matti T.

Key Skills

Software

Other

Top Subject Matter

LLM QA

RLHF safety alignment

Finnish localization

Top Data Types

Text

Document

Top Task Types

Classification

Object Detection

Text Generation

Text Summarization

RLHF

Evaluation/Rating

Freelancer Overview

Freelance AI Trainer & QA Specialist (LLM data labeling, evaluation, and training support). Brings 23+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Engineering, Satakunta University of Applied Sciences, Pori (2013) and Offshore Welding Qualification, Pori Adult Education Centre (PAKK), Pori (2007). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance AI Trainer & QA Specialist (LLM data labeling, evaluation, and training support)

Text

Performed high-complexity data labeling, dataset auditing, and model training support for Large Language Models under strict project guidelines. Conducted Quality Assurance by identifying systematic hallucination patterns in model outputs and reporting issues for corrective action. Specialized in Finnish language localization to ensure linguistic accuracy and cultural nuance in LLM interactions. • Audited dataset adherence to project rules • Assessed and documented hallucination patterns • Supported RLHF, safety alignment, and complex reasoning benchmarks • Operated across cross-functional AI training workflows

2024 - Present

Technical Professional / Quality Assurance (AI-related QA and inconsistency reporting)

OtherText

Managed quality assurance processes emphasizing systematic error reporting and precision in high-stakes environments. Applied analytical troubleshooting and documentation practices to identify inconsistencies in AI model logic associated with technical specifications and safety protocols. Followed rigid safety protocols while validating outputs and processes for technical accuracy. • Reported and traced systematic errors • Documented logic inconsistencies for resolution • Ensured compliance with detailed safety protocols • Optimized QA processes using analytical troubleshooting

2026

Education

Work History