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Remote Science Writer Jobs in Colorado (NOW HIRING)

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Remote Science Writer information

See Colorado salary details

$16

$36

$62

How much do remote science writer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote science writer in Colorado is $36.92, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $53.61 per hour, depending on experience, location, and employer.

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 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.

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.

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 are the most commonly searched types of Science Writer jobs in Colorado? The most popular types of Science Writer jobs in Colorado are:
What cities in Colorado are hiring for Remote Science Writer jobs? Cities in Colorado with the most Remote Science Writer job openings:
Infographic showing various Remote Science Writer job openings in Colorado as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,802 per year, or $36.9 per hour.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Denver, CO • Remote

$50 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.