Language Alignment & Resource Partner (Azerbaijani)

World Wide; United States; Remote; USD 50,000 - 80,000; Full time

Job summary

World Wide is seeking a meticulous Azerbaijani language QA reviewer to help ensure AI outputs are natural, grammatically correct, and culturally appropriate. You will annotate, test, and provide native-level vetting to prevent subtle errors as projects scale.

Ideal candidates hold C1–C2 Azerbaijani, have background in linguistics or education, and experience with data annotation. You will transform feedback into practical educational resources and contribute to ongoing quality improvement across

Qualifications

• Proven Azerbaijani language proficiency at C1 or C2 level
• Experience in linguistics, education, or fields requiring linguistic detail
• Prior experience in human data evaluation or annotation
• Ability to turn feedback into educational resources
• Attention to linguistic nuances

Responsibilities

• Review, annotate, and test AI outputs for grammatical accuracy, naturalness, and cultural context
• Act as quality check to identify and correct cultural errors or awkward phrasing in Azerbaijani
• Analyze task quality trends and develop educational resources and feedback documentation
• Provide native-level language vetting and linguistic consultation during project scaling

Skills

Azerbaijani language proficiency

Linguistics experience

Quality assurance

Educational content development

Education

Degree in Linguistics or related field

Tools

Annotation tools

Job description

Responsibilities

• Review, annotate, and test AI outputs for grammatical accuracy, naturalness, and cultural context
• Act as a primary quality check to identify and correct subtle cultural errors or awkward phrasing in Azerbaijani
• Analyze task quality trends and develop educational resources and feedback documentation
• Provide native-level language vetting and specialized linguistic consultation during project scaling

Requirements

• Verified Azerbaijani language proficiency of C1 or C2
• Experience in linguistics, education, or fields requiring high linguistic detail
• Prior experience in human data evaluation or annotation
• Ability to transform raw feedback into structured educational resources
• Meticulous attention to subtle linguistic nuances

About the Company

This project focuses on providing native-level Azerbaijani language vetting and QA to ensure AI systems deliver natural, polished, and culturally accurate communication.