Bilingual AI Annotation & Evaluation Specialist

Career International FOS Pte Ltd; Santo Niño 1st; On-site; PHP 391,000 - 614,000; Full time

Job summary

Career International FOS Pte Ltd is seeking an Annotation Specialist to support AI model evaluation. You will work across languages such as Thai, Korean, Japanese, French, German, Portuguese (Brazil), and Spanish, ensuring editorial quality and scalability.

You will conduct vendor annotation quality checks, help develop guidelines, design and refine system prompts, and analyze data for error trends, collaborating with project managers in fast-paced projects.

Qualifications

• Bachelor's degree with strong academic performance.
• Experience in writing and optimizing AI system prompts.
• Proficiency in English with excellent written and verbal communication.
• Fluency in Thai, Korean, Japanese, French, German, Portuguese (Brazil) or Spanish.
• Strong data sensitivity and analytical skills.
• Ability to balance individual judgment with teamwork in fast-paced environments.
• Self-motivation and ability to handle multiple priorities.

Responsibilities

• Execute annotation workflows and guidelines for AI model evaluation.
• Identify quality risks and error patterns; report to stakeholders.
• Conduct systematic quality checks on vendor annotations.
• Maintain detailed audit trails and provide actionable feedback.
• Develop annotation guidelines with project managers.
• Design, test, and refine system prompts for evaluation tasks.
• Create prompt libraries and best practices for consistency.
• Analyze annotation datasets to identify error trends.

Skills

AI prompt writing

Multilingual proficiency

English communication

Quality assurance

Analytical thinking

Education

Bachelor's degree

Job description

Career International FOS Pte Ltd is seeking an Annotation Specialist to support AI model evaluation. You will work across languages such as Thai, Korean, Japanese, French, German, Portuguese (Brazil), and Spanish, ensuring editorial quality and scalability.

You will conduct vendor annotation quality checks, help develop guidelines, design and refine system prompts, and analyze data for error trends, collaborating with project managers in fast-paced projects.