Key Skills

Software

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Classification

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

Highly detail-oriented and reliable professional with proven experience in data labeling and generating high-quality AI training data. Proficient in various annotation tasks, including image segmentation, text classification, entity recognition, and sentiment analysis, across diverse data types. I possess a strong commitment to accuracy, consistently adhering to complex project guidelines and deadlines to ensure data integrity and support optimal model performance.

Labeling Experience

Reviewer SFT

Scale AITextPrompt Response Writing SFT

Rate two model generated responses separately across various dimensions, provide preference ranking scores, write a justification for the response preference ranking, and explain the specifics and logic behind each decision.

Rate two model generated responses separately across various dimensions, provide preference ranking scores, write a justification for the response preference ranking, and explain the specifics and logic behind each decision.

2024

Attempter

Scale AITextRLHFPrompt Response Writing SFT

Contributed to text data labeling in STEM, Mathematics, and Physics using Scale AI. Tasks included RLHF and SFT through prompt/response writing, ensuring accuracy, clarity, and consistency for AI training datasets. Maintained quality via iterative reviews and strict project standards.

Contributed to text data labeling in STEM, Mathematics, and Physics using Scale AI. Tasks included RLHF and SFT through prompt/response writing, ensuring accuracy, clarity, and consistency for AI training datasets. Maintained quality via iterative reviews and strict project standards.

2023

Data annotation

SuperannotateVideoPolygonPoint Key Point

The scope of the 'Data Annotation Skeleton' project involved creating a meticulously labeled dataset to serve as foundational training data for an AI model focused on recognizing structures or key elements within images. Specific data labeling tasks included detailed keypoint annotation to mark structural points and bounding box annotation to delineate relevant objects or regions.

The scope of the 'Data Annotation Skeleton' project involved creating a meticulously labeled dataset to serve as foundational training data for an AI model focused on recognizing structures or key elements within images. Specific data labeling tasks included detailed keypoint annotation to mark structural points and bounding box annotation to delineate relevant objects or regions.

2020 - 2021

Education

Work History