Elementary English Language Arts Curriculum Annotator
Join a 3–6 month, fully remote U.S. contract evaluating AI-generated text against elementary ELA standards; Expert annotators (5+ years U.S. classroom experience) and Standard annotators (2+ years) can earn $35/hr with flexible, part-time hours (10+ hrs/week).
Generative AI & RLHF
100% Remote Hourly · $35/hr
$35/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 31, 2025
Posted
Open worldwide
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OpenTrain is the #1 platform for people who start and grow careers in AI training and data labeling. We connect skilled educators with meaningful projects that shape how AI systems learn and behave, and we manage contracting and pay directly through our platform.
About AI Training Work
AI training (also called data labeling or annotation) is the human work that teaches models to understand and produce language. Contributors review and rate model output, design examples, and refine guidelines so educational AI behaves accurately and safely in classroom contexts.
100% remote and flexible—fit work around teaching or summer schedules.
Accessible: many projects value classroom experience and strong written communication over prior annotation background.
The Role
We are hiring elementary English Language Arts annotators for a 3–6 month, fully remote U.S.-based contract. Work is part-time contractor work managed through OpenTrain and focuses on evaluating and rating AI-generated text against elementary ELA curriculum objectives.
There are two tiers: Expert Annotators (senior contributors who audit output and help build annotation guides) and Standard Annotators (labeling and validation once protocols are finalized). Continuous quality assurance checks ensure all annotations meet rigorous elementary-level standards.
What You'll Do
Tasks vary by tier but center on close reading, curriculum alignment, and high-quality feedback for model outputs.
Evaluate and rate AI-generated passages, lesson content, and short responses against elementary ELA objectives.
Flag ambiguous or incorrect outputs and provide constructive, curriculum-focused feedback.
Expert Annotators: audit labeled output, co-author and refine annotation guides, and curate reference examples.
Standard Annotators: apply finalized protocols to expand labeled examples and support validation rounds.
Who We're Looking For (Requirements)
All applicants must be comfortable giving constructive feedback, have meticulous attention to detail, and commit at least 10 hours per week. Preference is for candidates with recent classroom experience and familiarity with rubric-based scoring or annotation tools.
Expert Annotator: 5+ 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 hrs/week.
Standard Annotator: At least 2 years recent elementary ELA classroom teaching; solid knowledge of current U.S. education standards; strong writing and meticulous work habits; follows established annotation protocols; minimum 10 hrs/week; recent teaching (within five years) preferred.
Familiarity with annotation tools or rubric-based scoring is a plus but not required.
Project Details & Time Commitment
Contract length is approximately 3–6 months, fully remote, and U.S.-based: candidates should have U.S. elementary classroom experience as specified by the tier. Expect ongoing quality assurance reviews and guidance from OpenTrain throughout the project.
Pay: $35 USD per hour.
Weekly time: minimum 10 hours, typically less than 20 hours/week; schedule is flexible.
Employment type: Contractor, Part-time.
Data type: Text; Label type: Evaluation/Rating.
How It Works / How to Apply
Apply through your OpenTrain account. Creating an OpenTrain profile is free and lets you highlight classroom experience and relevant skills. Candidates who pass an initial screening will receive onboarding materials and project-specific guidelines before beginning paid annotation work.
You will receive training on annotation guidelines and examples before work begins.
Quality assurance reviews are continuous—expect feedback and occasional re-calibration tasks.
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