Shahida Shaifuddin

Key Skills

Software

Internal/Proprietary Tooling

Scale AI

Other

Top Subject Matter

AI Quality

Trust & Safety

Linguistic QA

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Quality Control Specialist (Freelance). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Other. Education includes Bachelor of Laws with Honours, International Islamic University of Malaysia. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Quality Control Specialist (Freelance)

Scale AIText

As a Quality Control Specialist at Scale AI, I conducted linguistic QA for SFT and RLHF post-training projects. My primary focus was on auditing AI-generated text, image, and audio outputs for quality, safety, and localization accuracy. I flagged issues including hallucinations, bias, and factual inconsistencies in multiple languages. • Evaluated outputs in Malaysian Malay and Singaporean English. • Utilized Outlier platform for annotation and QA audits. • Worked with both text and multimedia data across projects. • Ensured adherence to strict quality and safety standards.

As a Quality Control Specialist at Scale AI, I conducted linguistic QA for SFT and RLHF post-training projects. My primary focus was on auditing AI-generated text, image, and audio outputs for quality, safety, and localization accuracy. I flagged issues including hallucinations, bias, and factual inconsistencies in multiple languages. • Evaluated outputs in Malaysian Malay and Singaporean English. • Utilized Outlier platform for annotation and QA audits. • Worked with both text and multimedia data across projects. • Ensured adherence to strict quality and safety standards.

2025 - Present

Data Annotator for e-commerce platform

Internal Proprietary ToolingTextClassification

Labeled large volumes of text data by classifying sentiment (positive, negative, neutral), identifying user intent, and categorizing content based on predefined taxonomies. This included reviewing customer reviews, user comments, and platform-generated text to support AI systems in understanding tone, intent, and user behavior patterns.

Labeled large volumes of text data by classifying sentiment (positive, negative, neutral), identifying user intent, and categorizing content based on predefined taxonomies. This included reviewing customer reviews, user comments, and platform-generated text to support AI systems in understanding tone, intent, and user behavior patterns.

2023 - 2023

Education

Work History