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Sobre este puesto de English Teacher en micro1

micro1 · Remoto · Remote — 58 countries

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.
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Cómo se compara este salario de Teacher

Este puesto paga $57,200/yr — por encima de el rango típico para los puestos de Teacher.

$34,048 la mediana de $41,798 $59,197

Rango típico $36,660–$47,840/yr, a partir de 2,015 ofertas comparables de Teacher en JobsRadar (salario anualizado en USD). Ver datos salariales de Teacher →

Sobre micro1

micro1 is a human data and talent infrastructure company focused on improving AI systems through high-quality expert input.


It connects vetted domain specialists with AI teams and enterprises to produce training data, run model evaluations, and improve reasoning performance in advanced AI systems.


The platform combines a talent marketplace with AI-driven screening and matching tools, enabling faster access to specialized contributors for tasks like LLM training, agent evaluation, and structured data creation.

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