Persian Trilingual Language Specialist

Agency; United States; A distancia; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

Agency in the United States seeks a language QA specialist to review AI-generated text for grammar, idiomatic usage, and cultural appropriateness across Persian and other languages. You will annotate errors, assess translations for clarity and fidelity, and help strengthen evaluation protocols and language-specific guidelines with the team.

The role emphasizes attention to detail and clear communication, with opportunities to influence multilingual data quality and linguistic standards.

Formación

• Fluency in Persian and English.
• Proficiency in at least one additional language.
• Ability to articulate linguistic nuances across languages.
• Attention to detail and clear communication skills.

Responsabilidades

• Review AI-generated text for grammatical accuracy, idiomatic expression, and cultural appropriateness
• Annotate and correct linguistic errors
• Assess multilingual translations for clarity and fidelity
• Collaborate with the team to strengthen evaluation protocols and language-specific guidelines

Conocimientos

Fluent Persian

Fluent English

Additional language

Linguistic nuances

Attention to detail

Clear communication

Descripción del empleo

Responsibilities

• Review AI-generated text for grammatical accuracy, idiomatic expression, and cultural appropriateness
• Annotate and correct linguistic errors
• Assess multilingual translations for clarity and fidelity
• Collaborate with the team to strengthen evaluation protocols and language-specific guidelines

Requirements

• Fluency in Persian and English
• Proficiency in at least one additional language
• Ability to articulate linguistic nuances across languages
• Attention to detail and clear communication skills

Preferred Qualifications

• Prior experience in translation, linguistics, content evaluation, or AI training

About the Company

This project focuses on providing high-quality multilingual training data to improve large-scale language models, ensuring accuracy, nuance, and inclusivity for global communities.