Title:  Data Operations Engineer (Contractor)

“Work Where Wow, Happens Every Day”

Become Our: Data Operations Engineer (Contract 6 Months)  – AI & Innovations Research & Development (KLabs) 

Why You’ll Love Being Part of Our Team

At KLab, we build cutting-edge AI solutions that create meaningful business impact. This role offers the opportunity to work at the intersection of AI, machine learning, data engineering, and automation, contributing to projects that improve how AI systems understand and process enterprise knowledge.

You will collaborate closely with AI Engineers and Data Specialists while gaining hands-on experience in document intelligence, OCR, retrieval optimization, chatbot evaluation, and AI data infrastructure.

How You’ll Make an Impact

• Convert diverse unstructured data formats such as DOC, PDF, PPT, JPG, and other document types into standardized Markdown for AI model consumption.
• Prepare and maintain structured datasets that serve as the technical foundation for high-accuracy retrieval in the Athena chatbot knowledge base.
• Create and validate ground-truth datasets using data annotation and labeling tools to support AI and machine learning model development.
• Support Athena Chatbot Improvement Phase 3 and multiple AI-driven business use cases, including: HR KBank, HR KBTG, PDPA, LSV
• Collaborate with AI Engineers to improve data quality, retrieval accuracy, and overall chatbot response performance.
• Develop and enhance a specialized document conversion module to automate document preprocessing and reduce manual data preparation.
• Support integration of the conversion module into the AI Data Pipeline to improve scalability and operational efficiency.
• Assist in preparing datasets for AI initiatives such as: OCR models, Facial Recognition, Document Intelligence, Knowledge Retrieval Systems
• Perform chatbot response evaluation, model testing, and quality assurance to assess answer relevance, accuracy, and completeness.
• Identify data quality issues, process bottlenecks, and opportunities for workflow optimization.

What Will Set You Up for Success

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related fields
• 1–3 years of experience in Data Operations, Data Engineering, Data Annotation, AI/ML Support, or related roles
• Strong understanding of structured and unstructured data processing
• Experience handling document conversion and preprocessing workflows
• Familiarity with Markdown, JSON, CSV, Excel, or other structured data formats
• Knowledge of Python, SQL, scripting, or automation tools is highly preferred
• Basic understanding of Machine Learning, NLP, OCR, or RAG systems is a strong advantage
• Strong analytical mindset and problem-solving skills
• High attention to detail and commitment to data quality
• Ability to work effectively in a fast-paced collaborative environment