AI Work Central

English Teacher

micro1LanguagesFirst seen 9 Oct 2026

$15 to $40/hr as listed by micro1, USDEstimate a week at this rate
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Where
United States
Language
English
Type
Contract, remote

Posted on micro1 First seen 9 Oct 2026Checked 12 Oct 2026Listed until 5 Dec 2026

From the micro1 listing

Role Title: English Teacher

Role Type: Contractor, Remote

Location: United States only

micro1 is engaging English Teachers to collaborate on a customer-driven project that improves AI assistant quality through real-world task evaluation. In this role, you'll draw on your academic background and classroom experience, including managing student and parent communication, schedules, and coordination, to help train and evaluate next-generation AI assistants. Your expertise in language, literature, writing, and precise instruction following will shape how AI models handle the everyday tasks people delegate.

Key Responsibilities:

  1. Complete realistic teaching-related digital tasks (emailing parents and students, scheduling conferences, booking field trips to theaters or author events, coordinating with colleagues) using AI assistant tools under standardized, repeatable conditions.
  2. Read detailed task instructions and grading guidelines closely and follow them precisely and consistently, including multi-step requirements and fine details.
  3. Give an AI assistant clear instructions for real-world tasks, then review its work for accuracy, tone, grammar, completeness, and whether it followed the instructions given.
  4. Apply detailed grading guidelines to evaluate, rank, and annotate assistant responses, with a focus on language quality, literary and stylistic appropriateness, clarity, and tone.
  5. Draw on your knowledge of literature, rhetoric, and composition to judge whether AI-written text is well-constructed, audience-appropriate, and faithful to the request.
  6. Use AI training tools and platforms to record findings and submit evaluation data in line with project standards and milestones.

Required Skills and Qualifications:

  1. Based in the US, with an iPhone with iMessage and a Facebook and/or Instagram account.
  2. Bachelor's degree in English, literature, creative writing, linguistics, comparative literature, education, or a related humanities field.
  3. Strong instruction-following skills: the ability to read detailed, multi-step guidelines carefully and apply every requirement accurately, without skipping or reinterpreting steps.
  4. Experience teaching English or literature (for example, language arts, literature, composition, creative writing, or ESL) at the K-12, college, or adult education level.
  5. Solid knowledge of literary analysis, writing conventions, and grammar, with the ability to evaluate text for style, tone, and clarity.
  6. Daily, hands-on use of Google Classroom to run your classes: posting assignments and announcements, giving feedback on student work, managing due dates, and communicating with students and parents, alongside regular use of Gmail and Google Calendar.
  7. Experience using AI tools for real, practical tasks, with comfort giving an AI assistant instructions and checking its work.
  8. Exceptional attention to detail in grammar, tone, and accuracy when reviewing AI-generated writing.

Preferred Qualifications:

  1. Master's degree or advanced coursework in English, literature, or a related field.
  2. Prior experience with AI evaluation, data labeling, user testing, or similar feedback-driven projects.
  3. Familiarity with prompt writing and a practical understanding of AI assistant behaviors and limitations.
  4. Experience grading or reviewing writing or AI outputs for accuracy, helpfulness, and appropriateness.
  5. Experience writing rubrics or giving structured feedback on student writing or literary analysis.

Text above is the platform's own listing, shown as published. Check the details on micro1 before applying.

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Practice questions and what each platform says about its screening for this kind of role:

Terms in this listing

  • Instruction following: Whether a model did exactly what was asked, including constraints such as length, format, language or things to avoid.
  • Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
  • Labeling: Assigning a category or tag to an item, for example marking a review as positive or negative. Often used as a synonym for annotation.
  • Prompt: The input given to a model: a question, an instruction or a conversation so far.
  • Prompt writing: Creating realistic or challenging prompts for a model, often with a target answer or rubric, to build training or test data.

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