Pinluk

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Conversational AI / LLM training data

Data extraction, annotation, analysis

Top Data Types

Text

Audio

Image

Top Task Types

Prompt + Response Writing (SFT)

Entity (NER) Classification

Text Generation

Text Summarization

Data Collection

Bounding Box

Red Teaming

Freelancer Overview

AI Training & Data Specialist Intern — AI Rudder (Synthetic data generation, QA, and corpus scaling). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Arts, Shanghai International Studies University (2025) and Master of Science, Technical University of Munich (2027). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

AI Teaching Assistant System Project — Human-AI interaction platform (prompting and experimental evaluation)

OtherText

Built and evaluated a Human-AI interaction teaching-assistant system intended to measure how different AI communication styles affect learning outcomes. Implemented a pre-test, AI interaction, and post-test workflow to organize participant interaction data for analysis. Engineered structured prompts in a ChatGPT-based prototype to control response length, persona consistency, and conditional feedback logic for the experiment. • Integrated experimental stages using unique IDs to synchronize cross-stage data. • Engineered prompts to regulate response length and persona consistency. • Added conditional feedback logic within the prompt-driven assistant. • Ran an experiment with 30+ participants and analyzed results with statistical testing.

2026 - 2026

AI Training & Data Specialist Intern — AI Rudder (Synthetic data generation, QA, and corpus scaling)

Don't discloseTextPrompt + Response Writing (SFT)

Worked as an AI Training & Data Specialist Intern supporting conversational AI training data creation and iterative dataset improvement. Focused on generating dialogue datasets through prompt templates and ensuring resulting content met coherence, persona consistency, and safety requirements. Contributed to scaling structured multi-turn dialogue flows across diverse domains to improve NLU and generation quality. • Created prompt templates to produce 100+ high-quality dialogue samples weekly. • Performed QA on team-generated datasets and prompts for logical coherence and safety alignment. • Developed structured multi-turn dialogue flows spanning multiple domains. • Optimized data and prompt quality to enhance model NLU and generation capabilities.

2025 - 2025

Education

Work History