Expert English Language Arts Curriculum Annotator - 5+ Years U.S. Classroom Experience

About OpenTrain

OpenTrain is a centralized job board for data-labeling and AI-training roles. We aggregate openings from many AI companies and labeling platforms so educators and annotators can find and apply to projects quickly and in one place.

Creating an OpenTrain account is free and applying takes only a few minutes. This role is managed through OpenTrain and you'll work directly with the end client while OpenTrain facilitates the posting and application process.

About AI Training Work in Education

AI training (also called data labeling or human feedback work) is the human effort behind better, safer models. In education projects, teachers evaluate and rate AI-generated text against curriculum goals so models can produce accurate, grade-appropriate learning materials.

These projects are often fully remote and flexible, let contributors shape how educational AI behaves, and usually need careful, curriculum-aligned judgments rather than programming expertise.

The Role

We are hiring elementary English Language Arts annotation specialists for a 3–6 month, fully remote U.S.-based contract. Work is 100% online, part-time, and scheduled to fit your availability.

Two candidate tiers are available: Expert Annotators and Standard Annotators. All work is paid hourly at USD 35 per hour, with a minimum commitment of 10 hours per week and generally under 20 hours per week.

• Employment type: Contractor, Part-time
• Duration: 3–6 months
• Pay: $35 per hour (hourly, USD)
• Time commitment: minimum 10 hours/week; typically less than 20 hours/week
• Work location: fully remote; U.S. classroom experience required per tier
• Data type: text — label type: evaluation/rating — labeling software: OTHER

What You'll Do

You will evaluate AI-generated ELA text against elementary curriculum objectives, apply rubric-based ratings, and provide constructive feedback to improve model outputs and annotation guidelines.

• Expert Annotators will audit model output, co-author and refine annotation guides, curate reference examples, and flag ambiguous or edge-case items.
• Standard Annotators will label and expand example sets, follow finalized protocols, and support validation and quality checks.
• All annotators will participate in continuous quality assurance reviews and follow project-specific rubrics and instructions.

Requirements

Candidates must meet the experience requirements for their chosen tier and be comfortable providing written feedback, maintaining high attention to detail, and committing the minimum weekly hours.

• Expert Annotator: Five-plus years teaching ELA in U.S. elementary classrooms; background in curriculum design, instructional coaching, or assessment authoring; exceptional written communication; skilled at auditing annotations and refining guidelines; comfortable flagging edge cases; minimum 10 hour
• Standard Annotator: At least two years of recent classroom teaching in U.S. elementary ELA; solid understanding of current U.S. education standards; strong writing and meticulous work habits; follows established annotation protocols and quality checks; minimum 10 hours/week; recent teaching within f

Who Should Apply

This project is ideal for elementary classroom teachers, curriculum specialists, instructional coaches, and assessment authors who want flexible, remote work that matches their expertise in K–12 ELA.

It is a good fit for educators looking for summer or part-time side income, or for those who want to contribute to improving educational AI with their classroom knowledge.

• You enjoy close rubric-based evaluation and giving clear, constructive written feedback.
• You can commit to consistent weekly hours and respond to QA and guideline updates.
• You have experience aligning instruction to U.S. ELA standards and can identify grade-appropriate language and learning goals.

How It Works

Apply through OpenTrain; if selected you'll complete onboarding that includes project training, rubric review, and sample exercises. Annotation work is performed in a browser-based tool (project uses OTHER labeling software) and reviewed continuously for quality.

Contracts are managed directly with the end client via OpenTrain. Payment is hourly at $35/hr; QA feedback and guideline updates are provided throughout the engagement to ensure consistency and accuracy.

• Application: create an OpenTrain account and submit your profile and teaching history.
• Onboarding: training exercises, rubric walkthrough, and sample annotation checks.
• Workflow: remote, browser-based annotation; continuous QA and occasional calibration tasks.
• Compensation: paid hourly (USD $35/hr) as a contractor; part-time schedule under contract terms.