Hakan Tamer

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Entity Ner Classification

Classification

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI Trainer and data annotation specialist with over a year of hands-on work in creating, annotating, and evaluating training data for artificial intelligence systems. My background includes quality-assured text and image data labeling, meticulous metadata tagging, and structured dataset categorization for NLP and computer vision projects. I have a strong track record in evaluating AI-generated content for accuracy and relevance, localizing and translating data into Danish, and providing detailed feedback to optimize model performance. My experience spans remote collaboration, meeting tight deadlines, and ensuring high-quality, structured data delivery for diverse domains such as e-commerce, sustainability, and digital marketing. I am skilled in leveraging AI tools, conducting performance analyses, and continuously improving data processes to support robust and reliable AI systems.

Labeling Experience

Al Data Annotation & LLM Evaluation specialist

LabelboxTextEntity Ner ClassificationClassification

Worked as an AI Trainer contributing to the development and optimization of Large Language Models (LLMs) through high-quality data annotation, evaluation, and feedback processes. Scope of Work: • Created, reviewed, and quality-assured text-based training datasets for LLM fine-tuning • Annotated and categorized text data using structured metadata frameworks • Performed Named Entity Recognition (NER) and text classification tasks • Evaluated AI-generated outputs for accuracy, coherence, safety, and relevance • Conducted RLHF-style evaluations to improve model alignment and response quality • Wrote and refined prompts and responses for supervised fine-tuning (SFT) tasks • Translated and localized content into Danish while ensuring linguistic and cultural precision • Performed red teaming tasks to identify weaknesses, bias, hallucinations, and safety risks • Tested AI systems and documented errors, inconsistencies, and improvement areas

Worked as an AI Trainer contributing to the development and optimization of Large Language Models (LLMs) through high-quality data annotation, evaluation, and feedback processes. Scope of Work: • Created, reviewed, and quality-assured text-based training datasets for LLM fine-tuning • Annotated and categorized text data using structured metadata frameworks • Performed Named Entity Recognition (NER) and text classification tasks • Evaluated AI-generated outputs for accuracy, coherence, safety, and relevance • Conducted RLHF-style evaluations to improve model alignment and response quality • Wrote and refined prompts and responses for supervised fine-tuning (SFT) tasks • Translated and localized content into Danish while ensuring linguistic and cultural precision • Performed red teaming tasks to identify weaknesses, bias, hallucinations, and safety risks • Tested AI systems and documented errors, inconsistencies, and improvement areas

2024

Education

Work History