ZipRecruiter

Log In

2

Remote Science Writer Jobs in Raleigh, NC (NOW HIRING)

DataAnnotation

Data Science Consultant

Raleigh, NC · 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 ...

Trilogy

Senior/Principal Medical Writer - USA

Durham, NC · On-site +1

$120K - $159K/yr

... remote) from our Durham, NC, USA office. You willbe responsible for: * Preparinga variety of ... A minimum of aBachelor's degree in science/pharmacy (Ph.D. not necessary). * Fluent written and ...

DataAnnotation

Freelance Writer

Raleigh, NC · Remote

$20/hr

We are looking for a Freelance Writer to join our team to train AI models. You will measure the ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

DataAnnotation

Decision Scientist

Raleigh, NC · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

next page

Showing results 1-20

People also search for

All JobsRemote Science Writer JobsRemote Science Writer Jobs in Raleigh, NC

Remote Science Writer information

See Raleigh, NC salary details

$14

$34

$57

How much do remote science writer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote science writer in Raleigh, NC is $34.13, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $49.52 per hour, depending on experience, location, and employer.

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

A Remote Science Writer needs strong scientific literacy, excellent writing skills, and typically a degree in a scientific discipline or journalism. Familiarity with reference management tools, content management systems, and style guides such as APA or AMA is common. Attention to detail, time management, and the ability to communicate complex ideas clearly are standout soft skills. These abilities ensure the accurate, engaging, and timely delivery of scientific information to diverse audiences in a remote work environment.

How do Remote Science Writers typically collaborate with researchers and editors while working offsite?

Remote Science Writers often use digital communication tools such as email, video conferencing, and project management platforms to coordinate with researchers, editors, and other team members. Regular check-ins and virtual meetings help clarify scientific concepts, align on content expectations, and ensure accuracy and clarity in the writing. Writers may also participate in online editorial reviews and use collaborative document platforms to receive feedback and track revisions. This structure fosters a supportive environment despite the physical distance, enabling writers to contribute effectively to multi-disciplinary projects.

What is a remote science writer?

A remote science writer is a professional who creates articles, reports, or content about scientific topics while working from a location outside of a traditional office, often from home. Their responsibilities include researching scientific developments, interviewing experts, and translating complex scientific information into clear, accessible language for various audiences. Remote science writers may work for media outlets, research institutions, educational organizations, or as freelancers. This role requires strong writing skills, scientific literacy, and the ability to work independently while meeting deadlines.

What is the difference between Remote Science Writer vs Remote Scientific Content Editor?

AspectRemote Science WriterRemote Scientific Content Editor
CredentialsBachelor's or higher in science, writing experienceSimilar credentials, with additional editing or proofreading experience
Work EnvironmentRemote, freelance or full-timeRemote, often part of a publishing or research team
Employer & IndustryResearch institutions, science publications, biotech companiesScientific journals, publishing houses, research organizations
Search & Comparison IntentWriting-focused roles, content creationEditing, quality control, content refinement

Remote Science Writers focus on creating original scientific content, while Remote Scientific Content Editors review and refine existing material. Both roles require strong scientific knowledge and writing skills, but editors emphasize editing and quality assurance. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What are the most commonly searched types of Science Writer jobs in Raleigh, NC? The most popular types of Science Writer jobs in Raleigh, NC are:
What are popular job titles related to Remote Science Writer jobs in Raleigh, NC? For Remote Science Writer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Science Writer jobs in Raleigh, NC look for? The top searched job categories for Remote Science Writer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Science Writer jobs? Cities near Raleigh, NC with the most Remote Science Writer job openings:
Remote Science Writer jobs near you
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Raleigh, NC • 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). Note: 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. #datascience #J-18808-Ljbffr

Apply