AI Language Specialist: Remote Editing & Evaluation

Mercor; Dublin; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Mercor is seeking experienced English Linguistic Experts to join a cutting-edge AI research project conducted in partnership with a leading research lab. You will evaluate LLM-generated English text across diverse tasks and curate high-quality linguistic data to train and improve the model’s capabilities.

Remote role with flexible, asynchronous hours. Ideal candidates will have native or near-native English, strong editing and language evaluation skills, and a keen eye for linguistic nuance

Qualifications

• Native or near-native fluency in English with excellent grammar, syntax, vocabulary and style.
• Experience in editing, proofreading, writing, linguistic annotation, language evaluation, or NLP data work in English.
• Strong understanding of linguistic nuances, regional variations, tone and context-appropriate English usage.

Responsibilities

• Evaluate the quality and accuracy of LLM-generated English text across use cases (summarization, dialogue, grammar correction, rewriting, reasoning).
• Edit, refine, or rewrite English content to meet high linguistic, stylistic, and cultural standards.
• Annotate English text for grammatical, syntactic, semantic, and stylistic features.
• Identify model errors, inconsistencies, and language gaps, and provide feedback to improve LLM performance.
• Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

Skills

English proficiency

Editing & proofreading

Linguistic annotation

NLP data work

Independent remote work

Job description

Mercor is seeking experienced English Linguistic Experts to join a cutting-edge AI research project conducted in partnership with a leading research lab. You will evaluate LLM-generated English text across diverse tasks and curate high-quality linguistic data to train and improve the model’s capabilities.

Remote role with flexible, asynchronous hours. Ideal candidates will have native or near-native English, strong editing and language evaluation skills, and a keen eye for linguistic nuance