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Neuroscience Ai Jobs (NOW HIRING)

They are seeking Neuroscience Experts to evaluate AI-generated outputs for scientific integrity and accuracy. Responsibilities : • Scientific Review: review scientific papers alongside LLM ...

They are seeking Neuroscience Experts to evaluate AI-generated technical summaries, ensuring scientific integrity and factual accuracy in the outputs. Responsibilities : • review scientific papers ...

They are seeking Neuroscience Experts to evaluate AI-generated technical summaries, ensuring scientific integrity and factual accuracy in their outputs. Responsibilities : • review scientific ...

Job Summary : Prolific is building the biggest pool of quality human data in the world, and they are seeking Neuroscience Experts to evaluate AI-generated outputs. The role involves reviewing ...

They are seeking Neuroscience Experts to evaluate AI-generated outputs for scientific integrity and accuracy, ensuring that complex research is accurately summarized. Responsibilities : • review ...

Internship Program

New York, NY

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Internship Program

New York, NY

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities:

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for an ambitious Staff Software Engineer ...

Site Reliability Engineer

Emeryville, CA · On-site

$100K - $300K/yr

We are integrating neuroscience, AI, and bioengineering to understand and digitally model the architecture of the human brain. Position Summary We are looking for a Site Reliability Engineer to own ...

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Neuroscience Ai information

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How much do neuroscience ai jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for neuroscience ai in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

Can AI replace neuroscientists?

Neuroscience AI refers to the use of artificial intelligence to analyze brain data and support research. While AI can automate data processing and assist in modeling neural systems, it cannot fully replace neuroscientists, who provide critical interpretation, experimental design, and ethical oversight. Neuroscientists are essential for guiding AI applications and integrating findings into broader scientific understanding.

What is the role of AI in neuroscience?

In neuroscience AI professionals develop algorithms and models to analyze brain data, simulate neural processes, and assist in diagnosing neurological conditions. They often work with machine learning tools, neuroimaging techniques, and computational modeling to advance understanding of brain function and disorders.

Do neuroscientists work in AI?

Neuroscientists often work in AI by applying their understanding of the brain and neural systems to develop algorithms, machine learning models, and neural networks. Their expertise helps improve AI systems' ability to process information, learn, and adapt, making collaboration between neuroscience and AI a common interdisciplinary practice.

What are the key skills and qualifications needed to thrive in the Neuroscience Ai position, and why are they important?

To thrive in a Neuroscience AI role, you need a strong background in computational neuroscience, machine learning, and data analysis, often supported by a degree in neuroscience, computer science, or a related field. Familiarity with programming languages like Python or MATLAB, experience with neural network frameworks, and knowledge of neuroimaging tools such as EEG or fMRI analysis software are typically required. Strong analytical thinking, interdisciplinary communication, and problem-solving skills are valuable soft skills for this position. These abilities are crucial for advancing AI applications in neuroscience research and for effectively collaborating across scientific and technical teams.

What is a Neuroscience AI job?

A Neuroscience AI job involves applying artificial intelligence and machine learning techniques to neuroscience research and applications. Professionals in this field work on brain-computer interfaces, neural data analysis, cognitive computing, and AI-driven diagnostics for neurological disorders. They may collaborate with neuroscientists, data scientists, and engineers to develop models that simulate brain function, analyze neural signals, or enhance medical imaging. These roles exist in healthcare, academia, and tech industries, requiring expertise in AI, neuroscience, and programming.

What kind of projects or research does a Neuroscience AI professional typically work on?

As a Neuroscience AI professional, you might work on projects ranging from developing machine learning models to interpret complex brain data, to designing AI algorithms for diagnosing neurological disorders or simulating neural circuits. Daily tasks often involve collaborating with neuroscientists, data scientists, and clinicians to analyze large-scale neural datasets, fine-tune predictive models, and publish research findings. Many roles provide opportunities to engage in both academic research and industry applications, offering a dynamic environment with room for continued learning and career advancement. The collaborative nature of the job also means you’ll regularly contribute your expertise in interdisciplinary teams, driving innovation in brain science and technology.

How to become an AI neuroscientist?

To become an AI neuroscientist, typically a strong background in neuroscience, computer science, or related fields is required, often through a bachelor's degree followed by a master's or Ph.D. in neuroscience, artificial intelligence, or machine learning. Developing skills in programming languages like Python, understanding neural data analysis, and gaining experience with AI tools and frameworks are essential. Engaging in research, internships, or collaborative projects can also enhance expertise in applying AI to neuroscience problems.
More about Neuroscience Ai jobs
What cities are hiring for Neuroscience Ai jobs? Cities with the most Neuroscience Ai job openings:
What are the most commonly searched types of Neuroscience Ai jobs? The most popular types of Neuroscience Ai jobs are:
What states have the most Neuroscience Ai jobs? States with the most job openings for Neuroscience Ai jobs include:
Infographic showing various Neuroscience Ai job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $129,183 per year, or $62.1 per hour.
Neuroscience - AI Training - Denver, US

Neuroscience - AI Training - Denver, US

Prolific

Remote

Full-time

Posted 24 days ago


Job description

Job Summary:
Prolific is building a significant pool of quality human data for AI applications. They are seeking Neuroscience Experts to evaluate AI-generated outputs for scientific integrity and accuracy.
Responsibilities:
• Scientific Review: review scientific papers alongside LLM-generated graphical abstracts.
• Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
• Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
Qualifications:
Required:
• Deep expertise in Neuroscience
• You must hold a Master's or PhD in Neuroscience or a related field.
• History with fact-checking tasks and strong attention to detail
Preferred:
• Previous experience with AI-related training or evaluation tasks
• A background in scientific publishing or peer review
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.