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Work From Home Artificial Intelligence Neuroscience Jobs

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How much do work from home artificial intelligence neuroscience jobs pay per year?

As of Sep 6, 2026, the average yearly pay for work from home artificial intelligence neuroscience in the United States is $55,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What is a work from home artificial intelligence neuroscience professional?

A Work From Home Artificial Intelligence Neuroscience job involves using AI technologies to research, analyze, or develop applications related to neuroscience, all while working remotely. These roles may include analyzing brain data, creating neural network models inspired by the brain, or developing AI tools to assist neuroscientific research. Professionals in this field often collaborate virtually with teams, using programming, data analysis, and neuroscience knowledge to advance understanding of the brain or develop AI-driven healthcare solutions. This setup allows for flexibility and the ability to contribute to cutting-edge research from any location.

What are the key skills and qualifications needed to thrive as a work from home artificial intelligence neuroscience professional?

To excel in a Work From Home Artificial Intelligence Neuroscience role, you need a strong background in neuroscience, computer science, and machine learning, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), AI frameworks (like TensorFlow or PyTorch), and data analysis tools is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial for remote collaboration and independent research. These skills enable you to develop innovative AI solutions for neuroscience challenges while maintaining productivity and teamwork in a remote setting.

How does a work from home artificial intelligence neuroscience professional typically collaborate with multidisciplinary teams?

As a work-from-home Artificial Intelligence Neuroscience professional, you will often collaborate virtually with experts in neuroscience, data science, engineering, and healthcare. Communication tools such as Slack, Zoom, and project management platforms are essential for coordinating research, sharing data, and troubleshooting challenges in real time. Regular remote meetings, code reviews, and collaborative research sessions are common, allowing you to contribute to innovative projects while maintaining flexibility in your work environment. Building strong digital communication skills and proactively sharing updates are key to successful teamwork in this dynamic field.

Can a work from home artificial intelligence neuroscience work from home?

Work from home roles in artificial intelligence neuroscience typically involve tasks such as data analysis, research, and model development that can be performed remotely with a computer and relevant software. These positions often require strong technical skills, familiarity with programming languages, and sometimes specialized certifications, but many companies offer remote work options for qualified candidates.

How to become a work from home artificial intelligence neuroscience?

To work from home in artificial intelligence neuroscience, develop a strong foundation in neuroscience, machine learning, and programming languages like Python. Obtain relevant degrees such as a master's or Ph.D. in neuroscience, computer science, or related fields, and gain experience through research projects or internships. Familiarity with AI tools, data analysis, and remote collaboration platforms is also beneficial.

What cities are hiring for Work From Home Artificial Intelligence Neuroscience jobs?

Cities with the most Work From Home Artificial Intelligence Neuroscience job openings:

What states have the most Work From Home Artificial Intelligence Neuroscience jobs?

States with the most job openings for Work From Home Artificial Intelligence Neuroscience jobs include:

What job categories do people searching Work From Home Artificial Intelligence Neuroscience jobs look for?

The top searched job categories for Work From Home Artificial Intelligence Neuroscience jobs are:

Infographic showing various Work From Home Artificial Intelligence Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $55,973 per year, or $26.9 per hour.

Engineering Manager, Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

Company Description
Job Description
Engineering Manager, Artificial Intelligence (AI) Required, Work From Home
We are looking for an Engineering Manager to lead a high-performing engineering team building and scaling products used by millions of users across the region. This role is for a strong technical leader who can lead engineers, make sound architecture and engineering decisions, and drive products and systems from ideas to production. The Engineering Manager will be responsible for both the quality of the engineering team and the quality and speed of what the team ships. The Engineering Manager should be comfortable operating across people, product and technology, setting a high engineering bar while keeping the team focused on delivering real customer and business outcomes. We are looking for engineering leaders with real technology career highlights. A strong highlight is not just managing a large team or working at a famous company. A strong highlight means you personally helped build, ship or scale a serious product, platform or engineering organization and can clearly explain your contribution. You should be able to demonstrate both sides of engineering leadership: technical depth and the ability to build a high-performing team that consistently delivers. English is the main working language across global teams. Strong English communication is required. This position is 100% Remote.
Engineering Manager Responsibilities:
- Lead and manage a team of engineers across frontend, backend and full stack development.
- Own engineering delivery for major product areas, ensuring the team ships quickly without compromising reliability and technical quality.
- Work closely with product, design, mobile, backend and AI teams to turn ambiguous product problems into clear technical execution.
- Drive technical architecture and engineering decisions across APIs, databases, integrations, infrastructure and customer-facing systems.
- Set engineering standards around code quality, system design, testing, observability, security and production reliability.
- Stay close to the technical work through architecture reviews, code reviews, debugging and critical engineering decisions.
- Develop engineers through regular feedback, coaching, performance management and clear expectations.
- Identify performance gaps early and take ownership of raising the team's engineering and execution bar.
- Improve engineering processes, tooling and automation to help the team move faster and operate at scale.
- Own production outcomes beyond release: monitor systems, resolve incidents, identify root causes and ensure problems do not repeat.
- Build a strong engineering culture focused on ownership, speed, technical excellence and continuous improvement.
Qualifications
Engineering Manager Qualifications:
- Artificial Intelligence (AI) experience is required.
- Strong software engineering background with experience building and shipping real production systems.
- Experience leading or managing software engineers and owning engineering delivery.
- Strong technical depth across backend, frontend, APIs, databases, distributed systems or cloud infrastructure.
- Able to make sound architecture and technical trade-offs while balancing speed, scalability and maintainability.
- Strong track record of taking products or systems from idea through development, launch and production.
- Comfortable reviewing technical designs, challenging engineering decisions and debugging complex production issues.
- Strong people leadership with the ability to coach engineers, manage performance and build high-performing teams.
- Strong product sense and ability to connect engineering decisions to customer and business outcomes.
- Able to work fast with ambiguity, establish priorities and drive teams toward clear outcomes.
- Strong ownership mentality when something breaks or delivery slips, you take responsibility for getting it back on track.
- English is the main working language across global teams. Strong English communication is required.
This Role Is Not For:
- Managers who want to manage people without staying close to the technology.
- Engineers who want the title of Engineering Manager but do not want accountability for team performance.
- Leaders who need complete specifications before their team can start.
- Managers who measure success by meetings, processes, or tickets instead of shipped outcomes.
- People who avoid difficult technical decisions, performance conversations or production issues.
- Candidates who make vague leadership claims without being able to explain what they personally built, led, improved or scaled.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, APIs, Backend development, Cloud Infrastructure, Databases, Distributed Systems, Engineering Manager, Engineering, Frontend Development, Full Stack Development, Infrastructure, Integrations, Software Engineers, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
Please check out all of our jobs at www.nextstepsystems.com.