English Language Expert

In this hourly, remote contractor role, you will review AI-generated English-language responses and/or generate expert language content, evaluating reasoning quality and step-by-step edits while providing precise, actionable feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, meaning, methodology, or conceptual understanding; fact-check information when needed; write high-quality explanations and model revisions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your language expertise directly helps improve the world’s premier AI models by making their outputs more accurate, natural, and clearly explained.

Your profile

• Bachelor’s degree (or higher) in Linguistics, English, Translation/Localization, Communications, Journalism, or a related field.
• Expert command of English (C2/Native-level preferred) with Minimum C1 English proficiency required; multilingual ability (professional proficiency in at least one additional language) is strongly preferred.
• Strong skills in grammar, syntax, semantics, pragmatics, discourse structure, and stylistic editing across registers.
• Exceptional attention to detail in identifying meaning drift, ambiguity, inconsistencies, and subtle errors; able to explain corrections clearly in writing.
• Comfortable applying style guides and enforcing consistency (tone, terminology, punctuation, capitalization) across varied content types.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Previous experience with AI data training/annotation, editorial QA, localization QA, or professional copyediting is strongly preferred.
• Strong hands-on experience using tools like Perplexity, Gemini, ChatGPT and others

Key responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.