Amharic Language Specialist

Agency; United States; Remote; USD 28,000 - 39,000; Full time

Job summary

Agency is seeking language data annotators to improve Amharic AI training data and outputs. You will review, annotate, and provide linguistic feedback to enhance accuracy and cultural appropriateness.

Join a collaborative team focused on building high-quality datasets to help large language models deliver natural Amharic experiences with precise grammar and fluency.

Qualifications

• Fluency in Amharic with strong linguistic competence.
• Experience in translation, linguistics, language teaching, editing, or related professional work.
• Excellent written and spoken communication skills.
• Very high attention to detail.
• Ability to provide a secure computer and stable internet connection.

Responsibilities

• Review and annotate Amharic 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.

Skills

Fluency in Amharic

Translation experience

Linguistics background

Editing

Clear communication

Attention to detail

Tech readiness

Job description

Responsibilities

• Review and annotate Amharic 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 Amharic
• Demonstrated experience in translation, linguistics, language teaching, editing, or related professional work
• Clear communication skills
• Strong attention to detail
• 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 more natural, accurate, and contextually rich Amharic experiences.