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Remote Science Communication Jobs in Berkeley, CA

Excellent written and oral communication are required as is the ability to work well in a team ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Communicate insights to internal stakeholders including Medical Affairs, Market Access, HEOR, and ...

Director, Scientific Affairs

San Francisco, CA ยท On-site +1

$200K - $275K/yr

... remote work day * Qualified candidates must be legally authorized to be employed in the United ... Collaborate closely with Medical Science Liaisons(MSLs) to generate, synthesize, and communicate ...

Medical Science Liaison

Baltimore, MD ยท On-site +1

$195K/yr

Gather and communicate insights from HCPs to inform medical strategy * Train internal stakeholders ... Experience in a start-up environment is a plus This position is primarily remote. The salary range ...

Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ... Strong Written Communication & Collaboration Qualifications * 5+ years of regulatory medical ...

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... Ability to communicate analytical findings effectively in writing. Preferred * Experience in AI ...

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Remote Science Communication information

See Berkeley, CA salary details

$30K

$59.3K

$96.7K

How much do remote science communication jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote science communication in Berkeley, CA is $59,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,700.00 per year, depending on experience, location, and employer.

What is remote science communication?

Remote science communication involves sharing scientific information, research, and discoveries with diverse audiences using digital platforms, rather than in-person events. Professionals in this field may create content for websites, social media, podcasts, webinars, or virtual conferences, aiming to make complex scientific topics accessible and engaging. This role requires strong communication skills, science literacy, and the ability to use digital tools effectively. Remote science communicators often collaborate with researchers, educators, and media outlets from anywhere in the world.

What are some common challenges faced by professionals in remote science communication roles, and how can they be addressed?

One common challenge in remote science communication is ensuring clear and engaging messaging without face-to-face interaction, which can make it harder to gauge audience understanding. Collaborating across time zones and managing effective communication with scientists and stakeholders can also be complex. To address these, remote science communicators often rely on regular virtual meetings, collaborative tools, and clear documentation of project goals and feedback. Building a strong digital presence and adapting content for different online platforms are also key strategies for success in this role.

What are the key skills and qualifications needed to thrive as a remote science communicator, and why are they important?

To thrive as a Remote Science Communicator, you need a strong background in science, excellent writing or multimedia communication skills, and at least a bachelor's degree in a relevant field. Familiarity with digital communication tools, content management systems, and social media platforms is typically required, and certifications in science communication or digital marketing can be beneficial. Exceptional soft skills include creativity, adaptability, and the ability to translate complex scientific concepts into accessible language. These skills are crucial for effectively engaging diverse audiences and ensuring accurate dissemination of scientific information in a remote environment.

What is the difference between Remote Science Communication vs Remote Science Writing?

AspectRemote Science CommunicationRemote Science Writing
Required CredentialsScience degrees, communication skills, possibly certifications in science communicationScience degrees, strong writing skills, possibly certifications in technical or scientific writing
Work EnvironmentVirtual, often involves multimedia, presentations, and public engagementPrimarily virtual, focused on creating written content like articles, reports, and manuals
Employer & Industry UsageResearch institutions, science media outlets, educational organizationsScientific publishers, research organizations, educational platforms
Search & Comparison IntentUnderstanding roles involving science communication and outreachLooking for scientific writing opportunities and content creation roles

Remote Science Communication focuses on conveying scientific concepts through various media and engaging audiences, while Remote Science Writing emphasizes creating written scientific content. Both roles require science backgrounds but differ in their primary output and communication methods.

What are popular job titles related to Remote Science Communication jobs in Berkeley, CA?

For Remote Science Communication jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Science Communication jobs in Berkeley, CA look for?

The top searched job categories for Remote Science Communication jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Science Communication jobs?

Cities near Berkeley, CA with the most Remote Science Communication job openings:

Infographic showing various Remote Science Communication job openings in Berkeley, CA as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,252 per year, or $28.5 per hour.

AI Data Science Expert - Remote

San Francisco, CA โ€ข Remote

$100 - $200/hr

Part-time

Posted 20 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.