Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

HiveMind

Labelbox

LabelImg

Label Studio

Mindrift

Remotasks

SuperAnnotate

Surge AI

Toloka

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Audio Recording

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

As a multilingual AI training specialist with a strong foundation in symbolic logic and prompt engineering, I have contributed to the development and evaluation of large language models (LLMs) across diverse linguistic and logical contexts. My work includes designing semantically robust prompts in multiple languages and utilizing evaluation metrics such as BLEU scores and logit tracking to assess model performance. In my role as a Dataset Curator at PromptX Collective, I created coding datasets with varying difficulty levels and multilingual prompt variants, developing scoring rubrics to track hallucination instances. My research assistantship at the Prompt Robustness Lab involved studying symbolic prompt injection and logic reversals, leading to a 31.7% improvement in paradox prompt failure detection. These experiences have honed my skills in enhancing AI consistency and robustness. Additionally, I have co-authored a submission on multilingual prompt robustness and contributed to datasets adopted in industry challenges. My commitment to AI education is evident through teaching over 100 students in logic-based AI bootcamps, emphasizing real-world applications of model prompts. With proficiency in languages such as Indonesian, Spanish, and Icelandic, and coding expertise in Python, C++, Rust, and JavaScript, I bring a comprehensive skill set to AI training and data labeling projects.

Labeling Experience

Education

Work History