Kabuverdianu Language Specialist

Agency; United States; Remote; USD 30,000 - 47,000; Full time

Job summary

Agency is seeking an experienced linguist to review and annotate Kabuverdianu content, and to assess AI outputs for accuracy and fluency. The role involves identifying error patterns and providing expert feedback on grammar, semantics, and cultural appropriateness.

You will collaborate with the team to refine prompts, evaluation methods, and linguistic guidelines, ensuring secure connectivity and clear communication throughout the project.

Qualifications

• Fluency in Kabuverdianu required.
• Experience in translation, linguistics, language teaching, or editing welcomed.
• Attention to detail essential for quality annotation and evaluation.
• Clear communication and cultural knowledge required for collaboration.

Responsibilities

• Review and annotate Kabuverdianu content.
• Assess AI-generated outputs for accuracy and fluency.
• Identify and document error patterns in data.
• Collaborate with the team to refine prompts and guidelines.
• Provide feedback on grammar, syntax, semantics, and culture.

Skills

Fluency in Kabuverdianu

Strong attention to detail

Clear communication

Cultural knowledge

Stable internet connection

Education

Experience in translation or linguistics

Job description

Responsibilities

• Review and annotate Kabuverdianu content
• Assess AI-generated outputs for accuracy and fluency
• Identify and document error patterns
• Collaborate with the team to refine prompts, evaluation methods, and linguistic guidelines
• Provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness

Requirements

• Fluency in Kabuverdianu
• Demonstrated experience in translation, linguistics, language teaching, or editing
• Strong attention to detail
• Clear communication skills and cultural knowledge
• Ability to provide a secure computer and stable internet connection

Preferred Qualifications

• Experience in training, coaching, or linguistic annotation

About the Company

This project focuses on developing high-quality training data to help large-scale language models deliver natural, accurate, and contextually rich Kabuverdianu experiences.