English LLM Linguistic Evaluator

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Create a free profile, discover projects that match your skills, and build a lasting portfolio of work that helps you grow in this fast-moving field.

• Remote opportunities across the AI training industry
• A profile for showcasing your experience and skills
• Free account creation and applications in minutes

About AI Training Work

AI training is the human side of building modern artificial intelligence. Contributors review model outputs, prepare language data, and provide detailed feedback that helps AI systems understand and generate more accurate, natural, and context-appropriate responses.

• Work directly with cutting-edge large language model systems
• Use language expertise to shape how AI communicates
• Flexible remote work that can fit around other commitments

The Role

OpenTrain is hiring an English LLM Linguistic Evaluator to assess and improve large language model outputs and curate high-quality English linguistic data for AI training. You will review generated English text across summarization, dialogue, grammar correction, rewriting, and reasoning use cases, applying careful linguistic, stylistic, and cultural judgment.

This is an entry-level remote contractor role with part-time, asynchronous work. The expected time commitment is 20 or more hours per week, and the rate is $50 per hour.

• Role type: Part-time contractor
• Work arrangement: Remote and worldwide
• Schedule: Flexible and asynchronous
• Time requirement: 20+ hours per week
• Rate: $50 per hour
• Language: English

What You'll Do

You will evaluate English model-generated text and make precise revisions that improve quality, clarity, accuracy, and naturalness. Your analysis and feedback will help guide language model training across a range of written communication tasks.

• Evaluate the quality and accuracy of English model-generated text across varied use cases
• Edit, refine, and rewrite content for grammar, style, clarity, and cultural appropriateness
• Annotate grammatical, syntactic, semantic, and stylistic features in English text
• Identify model errors, inconsistencies, ambiguity, language gaps, and unnatural phrasing
• Provide detailed linguistic analysis and actionable feedback for model training

Requirements

This role requires native or near-native English ability and a highly developed understanding of how English changes by context, region, tone, and audience. You should be comfortable making subtle, well-reasoned edits and explaining why a revision improves the text.

• Native or near-native English fluency with excellent grammar, syntax, vocabulary, and stylistic control
• Professional experience in editing, proofreading, writing, linguistic annotation, language evaluation, or English NLP data work
• Ability to identify accuracy issues, ambiguity, unnatural phrasing, and context problems in LLM-generated text
• Understanding of regional variation, tone, cultural appropriateness, and semantic nuance
• Strong attention to detail, analytical judgment, and written communication skills
• Ability to work independently in a distributed remote environment

Helpful Background

Interest in artificial intelligence and large language model technologies is helpful. Experience providing structured linguistic feedback or supporting language-data projects can also be valuable.

• Interest in AI and large language model technology
• Experience with structured linguistic feedback
• Experience supporting language-data projects

How to Apply

Create a free OpenTrain account and apply through the platform. Your profile can help you present relevant editing, writing, proofreading, linguistic evaluation, and English NLP experience as you build a career in AI training.

• Apply remotely through OpenTrain
• Highlight your English language and evaluation experience
• Build a portfolio for future AI training opportunities