Remote English Linguistic Expert for AI Training & Eval

Obsidian; San Jose (CA); On-site; USD 70,000 - 110,000; Full time

Job summary

Mercor is seeking experienced English Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in English-language tasks and on curating high-quality English linguistic data to train and improve the model’s understanding and generation capabilities.

You will edit, annotate, and provide linguistic feedback, working remotely with flexible hours on a fast-moving

Qualifications

• Native or near-native English with strong grammar, syntax, and vocabulary.
• Experience in editing, proofreading, or linguistic annotation.
• Knowledge of linguistic nuances, regional variations, tone, and context-appropriate English usage.
• Ability to spot subtle errors, awkward phrasing, ambiguity, and unnatural language.
• Interest in AI/LLM is preferred but not required.
• Strong attention to detail and written communication.
• Ability to work independently in a distributed, remote environment.

Responsibilities

• Evaluate the quality and accuracy of LLM-generated English text across various use cases (e.g., summarization, dialogue, grammar correction, rewriting, and 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 fluency

Editing & proofreading

Linguistic annotation

NLP data work

Language evaluation

Attention to detail

Remote work capability

Job description

Mercor is seeking experienced English Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in English-language tasks and on curating high-quality English linguistic data to train and improve the model’s understanding and generation capabilities.

You will edit, annotate, and provide linguistic feedback, working remotely with flexible hours on a fast-moving