Lok Jia Sheng

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Top Task Types

Audio Recording

Computer Programming Coding

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

As a Freelancer with Scale AI, I gained hands-on experience in Data Labeling and providing AI Training Data. I assisted with the creation of Machine Learning Models through the Annotation and Validation of Structured and Unstructured Datasets. My responsibilities included following strict guidelines for labelling Text and Data Samples , confirming their accuracy, consistency and quality. I was required to adhere to strict annotation standards; to review my output regularly during the lifetime of my projects; to receive feedback and to continually correct my errors until I met the standard for each of my projects. Having a solid foundation as a Computer Science Student, I have a greater appreciation for how AI and Machine Learning Pipelines work. With strong programming fundamentals, an eye for detail and the ability to quickly adapt to new tools and requirements, I provide reliable training Data as a result of my commitment to Data Quality and Responsibility. I recognize that the importance of Data Annotation should be focused on providing Accurate, Scalable and Effective Datasets for Real-World AI Applications.

Labeling Experience

Data Annotation Specialist

Scale AITextText GenerationRLHF

-Annotate and label text, image, and data samples to support machine learning model training -Follow detailed guidelines to ensure data accuracy and consistency -Review and validate annotated data to maintain quality standards -Identify and correct labeling errors based on feedback -Work with different data formats and annotation tools -Meet project deadlines while maintaining high-quality outputs

-Annotate and label text, image, and data samples to support machine learning model training -Follow detailed guidelines to ensure data accuracy and consistency -Review and validate annotated data to maintain quality standards -Identify and correct labeling errors based on feedback -Work with different data formats and annotation tools -Meet project deadlines while maintaining high-quality outputs

2023 - 2025

Education

Work History