Data Annotation Specialist

We are hiring a Data Annotation Specialist to join our client's team. In this role, you'll annotate diverse datasets, perform quality checks, and collaborate globally to enhance AI data solutions across multiple industries. This is an onsite position based in Kuala Lumpur, Malaysia. Key Requirements: Fluent in English and Malay with good communication skills.Strong attention to detail and accuracy.Valid rights to work in Malaysia. Other Requirements: A diploma in Computer science or other related fields is preferred (but not mandatory).0-2 years of experience in big data annotation.Ability to work in a fast-paced environment and meet deadlines.Fresh Graduates are welcome to apply. Key Responsibilities: Annotate and label large datasets according to specific guidelines and requirements, including pictures, icons, audio, video, text, etc.Perform quality checks on annotated data to ensure accuracy and consistency.Collaborate with team members to develop and improve annotation processes and tools.Communicate effectively with project managers and stakeholders to understand project requirements and deadlines.Analyze and interpret data to identify trends and patterns.

We are hiring a Data Annotation Specialist to join our client's team. In this role, you'll annotate diverse datasets, perform quality checks, and collaborate globally to enhance AI data solutions across multiple industries. This is an onsite position based in Kuala Lumpur, Malaysia.

Data Annotation Specialist

Key Requirements:

Key Requirements:

• Fluent in English and Malay with good communication skills.
• Strong attention to detail and accuracy.
• Valid rights to work in Malaysia.

Other Requirements:

Other Requirements:

• A diploma in Computer science or other related fields is preferred (but not mandatory).
• 0-2 years of experience in big data annotation.
• Ability to work in a fast-paced environment and meet deadlines.
• Fresh Graduates are welcome to apply.

Key Responsibilities:

Key Responsibilities:

• Annotate and label large datasets according to specific guidelines and requirements, including pictures, icons, audio, video, text, etc.
• Perform quality checks on annotated data to ensure accuracy and consistency.
• Collaborate with team members to develop and improve annotation processes and tools.
• Communicate effectively with project managers and stakeholders to understand project requirements and deadlines.
• Analyze and interpret data to identify trends and patterns.