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Remote Math Curriculum Writer Jobs in Missouri (NOW HIRING)

DataAnnotation

Astrophysicist - AI Trainer

Louisiana, MO · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Write clear technical explanations and well‐documented analytical code. Provide feedback that ...

DataAnnotation

Geophysicist - AI Trainer

Louisiana, MO · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Write clear technical explanations and well‐documented analytical code. Provide feedback that ...

DataAnnotation

Physicist - AI Trainer

Kansas City, MO · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Write clear technical explanations and well‐documented analytical code. Provide feedback that ...

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How much do remote math curriculum writer jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote math curriculum writer in Missouri is $25.21, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $31.11 per hour, depending on experience, location, and employer.

What is a Remote Math Curriculum Writer job?

A Remote Math Curriculum Writer develops educational materials, lesson plans, and assessments for math courses while working from a remote location. They align content with academic standards, ensuring clarity and engagement for students. This role often involves collaborating with educators, instructional designers, and publishers to create effective learning experiences. Strong math expertise, curriculum development skills, and the ability to write clear instructional content are essential.

What are the key skills and qualifications needed to thrive in the Remote Math Curriculum Writer position, and why are they important?

To thrive as a Remote Math Curriculum Writer, you need a solid background in mathematics, curriculum development, and educational standards, often supported by a teaching credential or degree in mathematics or education. Familiarity with digital curriculum platforms (such as Google Classroom, Canvas, or proprietary LMS tools) and instructional design software is highly valuable. Strong written communication, collaboration, and time-management skills help you excel in a remote and often team-oriented environment. These skills ensure the effective creation of high-quality, standards-aligned instructional materials that engage diverse learners in virtual or traditional classrooms.

What does a typical workday look like for a Remote Math Curriculum Writer?

A typical day for a Remote Math Curriculum Writer involves researching and developing lesson plans, assessments, and instructional activities aligned with educational standards. Collaboration is common; you may attend virtual meetings with fellow writers, editors, or subject-matter experts to review content and ensure consistency. Daily tasks often include drafting curriculum documents, incorporating feedback, and updating or revising existing materials based on educator or student needs. Many remote curriculum writers enjoy flexible scheduling but must manage deadlines and prioritize multiple projects. This role provides the opportunity for creative problem-solving and contributing to impactful educational resources from anywhere.
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Political Scientist - AI Trainer

Political Scientist - AI Trainer

DataAnnotation

California, MO • On-site, Remote

$60/hr

Full-time

Posted 17 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks such as evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour. Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference. Write clear technical explanations and well‐documented analytical code.

Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end.

Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills. A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). #J-18808-Ljbffr

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