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Remote Math Textbook Writing Jobs in Michigan (NOW HIRING)

DataAnnotation

Bioinformatician - AI Trainer

Lansing, MI · 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

Growth Analyst - AI Trainer

Lansing, MI · 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

Quantitative Strategist

Lansing, MI · 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

Data Science Consultant

Lansing, MI · On-site +1

$40/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

Epidemiologist - AI Trainer

Lansing, MI · On-site +1

$40/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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Remote Math Textbook Writing information

What are the key skills and qualifications needed to thrive as a Remote Math Textbook Writer, and why are they important?

To thrive as a Remote Math Textbook Writer, you need a strong background in mathematics, excellent written communication skills, and typically a degree in math or education. Familiarity with digital authoring tools, LaTeX, and educational publishing platforms is often required. Attention to detail, creativity, and the ability to explain complex concepts clearly are standout soft skills in this role. These skills ensure the creation of accurate, engaging, and accessible content that supports effective learning for students.

How do remote math textbook writers typically collaborate with editors and subject matter experts during the content development process?

Remote math textbook writers often work closely with editors, instructional designers, and subject matter experts through virtual meetings, collaborative platforms, and document-sharing tools. Communication is key, as writers receive feedback on drafts, clarify mathematical concepts, and ensure alignment with curriculum standards. While most collaboration is asynchronous, regular check-ins and review cycles help maintain project timelines and quality. This team-oriented approach ensures accuracy, consistency, and pedagogical effectiveness in the finished textbook.

What is remote math textbook writing?

Remote math textbook writing is a job where individuals create, edit, or revise math textbooks and related educational materials while working from a location outside of a traditional office, typically from home. These writers collaborate with publishers, educators, and subject matter experts to develop clear, accurate, and engaging math content for students at various grade levels. The work may involve creating practice problems, explanatory texts, and solutions, as well as aligning materials with educational standards. This role requires strong math proficiency, excellent writing skills, and the ability to work independently.

What is the difference between Remote Math Textbook Writing vs Remote Math Content Development?

AspectRemote Math Textbook WritingRemote Math Content Development
CredentialsTypically requires a degree in mathematics or educationOften requires similar credentials, with additional skills in multimedia or digital content
Work EnvironmentPrimarily independent, focused on writing and researchIncludes collaboration with multimedia teams, software developers, or publishers
Employer & Industry UsageUsed by educational publishers, universities, and online learning platformsUsed by edtech companies, online course providers, and publishers
Search & Comparison IntentFocuses on textbook creation, curriculum design, and academic writingCenters on digital content, interactive materials, and multimedia integration

Remote Math Textbook Writing primarily involves creating traditional textbooks and curriculum materials, while Remote Math Content Development focuses on producing digital, interactive, and multimedia math content. Both roles require strong math credentials but differ in their scope and tools used.

What are popular job titles related to Remote Math Textbook Writing jobs in Michigan? For Remote Math Textbook Writing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Math Textbook Writing jobs in Michigan look for? The top searched job categories for Remote Math Textbook Writing jobs in Michigan are:
What cities in Michigan are hiring for Remote Math Textbook Writing jobs? Cities in Michigan with the most Remote Math Textbook Writing job openings:
Remote Math Textbook Writing jobs near you
Forecasting Analyst - AI Trainer

Forecasting Analyst - AI Trainer

DataAnnotation

Lansing, MI • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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 like 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. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

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). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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