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How much do remote artificial intelligence neuroscience jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote artificial intelligence neuroscience in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What is a remote artificial intelligence neuroscience?

A Remote Artificial Intelligence Neuroscience job involves researching, developing, and applying AI techniques to understand and model brain function, often from a remote location. Professionals in this role use machine learning, neural networks, and computational models to analyze neurological data or simulate brain processes. These jobs can include tasks such as designing algorithms to interpret brain imaging data, advancing brain-computer interfaces, or contributing to neuroscience research using AI tools—all while working outside a traditional office setting. This field often requires expertise in both neuroscience and artificial intelligence, along with strong programming skills.

How does a remote artificial intelligence neuroscience professional typically collaborate with interdisciplinary teams?

In a Remote Artificial Intelligence Neuroscience role, professionals frequently work with interdisciplinary teams comprising data scientists, neuroscientists, software engineers, and clinicians. Collaboration often takes place through virtual meetings, shared research platforms, and project management tools. Clear communication is essential for translating neuroscience concepts into AI models and vice versa, ensuring all team members understand project goals and limitations. This collaborative approach allows for innovative solutions at the intersection of neuroscience and artificial intelligence, while remote work structures foster flexibility and broaden opportunities to work with experts worldwide.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence neuroscience specialist, and why are they important?

To excel in Remote Artificial Intelligence Neuroscience, you need a strong background in neuroscience, computer science, and machine learning, often backed by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neural data analysis platforms, and AI frameworks (like TensorFlow or PyTorch) is crucial, along with relevant research experience or certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart, especially in remote environments. These competencies are essential for innovating in brain research, translating complex data into actionable insights, and collaborating on interdisciplinary, geographically distributed teams.

What is the difference between Remote Artificial Intelligence Neuroscience vs Remote Data Scientist?

AspectRemote Artificial Intelligence NeuroscienceRemote Data Scientist
Required CredentialsAdvanced degrees in neuroscience, AI, or related fields; programming skillsDegree in data science, statistics, or computer science; programming skills
Work EnvironmentResearch labs, tech companies, academia; often collaborative and interdisciplinaryTech firms, finance, healthcare; data analysis and modeling focus
Industry UsageAI development, neuroscience research, cognitive computingBusiness analytics, predictive modeling, data-driven decision making

Remote Artificial Intelligence Neuroscience professionals focus on applying AI techniques to understand neural processes, often requiring neuroscience and AI expertise. Data Scientists analyze large datasets to extract insights across industries. While both roles involve data analysis and programming, AI Neuroscience emphasizes neural data and cognitive models, whereas Data Scientists work broadly with structured data for business solutions.

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Remote Artificial Intelligence Neuroscience jobs near you
Infographic showing various Remote Artificial Intelligence Neuroscience job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Software Engineer, Desktop, Artificial Intelligence (AI) Required, Work From Home

San Francisco, CA • Remote

Ginas Tech Jobs
See more jobs at Ginas Tech Jobsexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

Job Description

Software Engineer, Desktop, Artificial Intelligence (AI) Required, Work From Home

The Software Engineer, Desktop will own how the system behaves on desktop environments.  Your work focuses on reliability, performance, and real-time behavior in production desktop applications.  This position is 100% Remote.

Software Engineer, Desktop Responsibilities:

- Build and maintain cross-platform desktop applications using Electron.

- Design responsive and scalable UIs for real-time collaboration.

- Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking.

- Integrate Artificial Intelligence (AI)-powered features (chat, agents, Artificial Intelligence (AI) assistance) via backend APIs.

- Optimize startup time, memory usage, and runtime performance.

- Profile and reduce Electron overhead.

- Manage large local state and message history efficiently.

- Ensure smooth real-time updates (messages, typing indicators, presence).

- Maintain stability across macOS and Windows environments.

Qualifications

Software Engineer, Desktop Qualifications:

- Proven software engineering experience.

- Artificial Intelligence (AI) experience required.

- Hands-on experience building production Electron applications.

- Strong proficiency in JavaScript and TypeScript.

- Experience with React or similar UI frameworks.

- Solid understanding of the desktop application lifecycle.

- Experience with IPC communication.

- Experience working with local storage (SQLite, IndexedDB, filesystem).

- Experience with WebSockets or other real-time transport mechanisms.

- Strong debugging and performance profiling skills.

- Familiarity with native OS behaviors on macOS or Windows.

- Tech Stack:  Electron, Node.js, NoSQL, SQL, and Typescript.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Software Engineer, Desktop, AI, API, Artificial Intelligence, Electron, IndexedDB, IPC Communications, JavaScript, macOS, Node.js, NoSQL, React, Real Time, SQL, SQLite, Typescript, UI, User Interface, WebSockets, Windows, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Software Engineer, Desktop in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Software Engineers, Desktop for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.ginastechjobs.com.