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Remote Science Writing Jobs in Washington, DC (NOW HIRING)

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Demonstrated coding experience to support writing scripts with tools such as but not limited to ...

Ace IT Careers

QA Tester (Remote)

Washington, DC · Remote

RequirementsEducation & Experience:Bachelor's degree in Computer Science, IT, or related ... Effective communication skills, both written and verbal.Self-motivation and ability to work ...

Addison Group

Part-time Grant Writer

Herndon, VA · On-site +1

$28 - $32/hr

Nonprofit / Behavioral Health / Research Location (city, state): 100% Remote (Preference for ... sciences space. This small but nationally recognized organization fosters a collaborative ...

New

MNF Global

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent attorneys with ... Engineering, Computer Science, Mechanical Engineering or Physics. Strong writing and client ...

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350.03K/yr

This is a remote position. About the Remote Opportunity: This is only for patent agents with ... Engineering, Computer Science, Mechanical Engineering or Physics. Strong writing and client ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Demonstrated coding experience to support writing scripts with tools such as but not limited to ...

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All JobsRemote Science Writing JobsRemote Science Writing Jobs in Washington, DC

Remote Science Writing information

See Washington, DC salary details

$12.5K

$79.8K

$90K

How much do remote science writing jobs pay per year?

As of May 28, 2026, the average yearly pay for remote science writing in Washington, DC is $79,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $83,800.00 per year, 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?

To thrive as a Remote Science Writer, you need a strong background in scientific research, excellent writing skills, and typically a degree in a scientific field or journalism. Familiarity with reference management tools, content management systems (CMS), and digital communication platforms is often required. Attention to detail, self-motivation, and the ability to communicate complex scientific concepts clearly are standout soft skills. These abilities ensure accurate, engaging, and accessible science communication to a broad audience while meeting deadlines and maintaining quality remotely.

What are some common challenges faced by remote science writers and how can they be addressed?

Remote science writers often face challenges such as managing time effectively across different projects, ensuring clear communication with subject matter experts, and staying updated on rapidly evolving scientific information. To address these, it's important to establish a structured work schedule, use collaboration tools for regular check-ins, and participate in ongoing professional development. Additionally, proactive communication and clarifying expectations with editors and collaborators can help ensure smooth workflow and high-quality deliverables.

What is remote science writing?

Remote science writing involves creating scientific content such as articles, reports, blogs, or educational materials from a location outside of a traditional office, often from home. Science writers translate complex scientific research and concepts into clear, accessible language for a variety of audiences, including the general public, students, or professionals. Working remotely allows science writers to collaborate with clients, editors, and researchers online, providing flexibility in work location and schedule. This field often requires a strong background in science and excellent communication skills.

What is the difference between Remote Science Writing vs Remote Scientific Editing?

AspectRemote Science WritingRemote Scientific Editing
Required CredentialsDegree in Science, Writing experienceScience background, Editing skills, often a degree in Science or related field
Work EnvironmentWriting articles, blog posts, research summariesReviewing, editing scientific manuscripts, journals
Employer & Industry UsageResearch institutions, science publishers, media outletsAcademic publishers, scientific journals, research organizations
Search & Comparison IntentJobs involving creating scientific contentJobs focused on refining and improving scientific documents

Remote Science Writing involves creating original scientific content, while Remote Scientific Editing focuses on reviewing and refining existing scientific documents. Both roles require a strong science background, but writing emphasizes content creation, whereas editing emphasizes accuracy and clarity in scientific communication.

What are the most commonly searched types of Science Writing jobs in Washington, DC? The most popular types of Science Writing jobs in Washington, DC are:
What are popular job titles related to Remote Science Writing jobs in Washington, DC? For Remote Science Writing jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Science Writing jobs in Washington, DC look for? The top searched job categories for Remote Science Writing jobs in Washington, DC are:
Remote Science Writing jobs near you
Clinical Data Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

DataAnnotation

Washington, DC • On-site, Remote

$40/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, starting at $40+ USD per 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

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