Indonesian NLP Linguist for AI Research - Remote

Confidential; United States; Remote; USD 34,000 - 62,000; Full time

Job summary

Confidential is seeking Indonesian Linguistic Experts to join a cutting-edge AI research project with a leading research lab. The role centers on evaluating how effectively an LLM performs in Indonesian tasks and on curating high-quality Indonesian linguistic data to train and improve the model's understanding and generation capabilities.

You will evaluate Indonesian text across use cases, edit content for linguistic and cultural accuracy, and annotate data to support model training.

Qualifications

• Native or near-native fluency in Indonesian with strong grammar and stylistics.
• Professional experience in translation, editing, linguistic annotation, or NLP data work in Indonesian.
• Strong understanding of Indonesian nuances, regional variations, and context-appropriate usage.
• Professional fluency in English.
• Interest in AI and LLM language technologies (preferred).

Responsibilities

• Evaluate the quality and accuracy of LLM-generated Indonesian text across use cases (translation, summarization, dialogue, grammar correction).
• Edit, refine, or rewrite Indonesian content to meet linguistic and cultural standards for Indonesian-speaking audiences.
• Annotate Indonesian text for grammatical, syntactic, and semantic features.
• Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

Skills

Indonesian language proficiency

English proficiency

Attention to detail

Remote collaboration

Job description

Confidential is seeking Indonesian Linguistic Experts to join a cutting-edge AI research project with a leading research lab. The role centers on evaluating how effectively an LLM performs in Indonesian tasks and on curating high-quality Indonesian linguistic data to train and improve the model's understanding and generation capabilities.

You will evaluate Indonesian text across use cases, edit content for linguistic and cultural accuracy, and annotate data to support model training.