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Neuroscience Ai Jobs (NOW HIRING)

Varsity Tutors

Neuroscience Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Wichita, KS · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Rexburg, ID · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

New Haven, CT · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Neuroscience Tutor

Champaign, IL · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Neuroscience Tutor

TN · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Washington, DC · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Richmond, VA · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

IN · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Conway, AR · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Neuroscience Tutor

Stamford, CT · Remote

$18 - $40/hr

... Neuroscience tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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How much do neuroscience ai jobs pay per hour?

As of Aug 14, 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.

How is AI being used in neuroscience?

Neuroscience AI involves developing algorithms and models to analyze brain data, such as neural signals and imaging, to understand brain function and disorders. Neuroscience AI specialists often work with machine learning tools and neuroimaging software to interpret complex data sets and support research or clinical diagnostics.

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?

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.

Do neuroscience Ai work in AI?

Neuroscience AI refers to the application of neural network models inspired by the human brain to develop artificial intelligence systems. Professionals in this field often work on machine learning, deep learning, and cognitive modeling, utilizing tools like Python, TensorFlow, or PyTorch. Their work contributes to advancing AI capabilities by mimicking biological neural processes.
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Neuroscience Ai jobs near you
Infographic showing various Neuroscience Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $129,183 per year, or $62.1 per hour.

Senior AI Researcher

The Biological Computing Co

San Francisco, CA • On-site

$220K - $300K/yr

Full-time

Posted 2 days ago

New

Job description

About TBC
The Biological Computing Co. (TBC) is an applied biological computing company that uses real neurons to improve AI models.
We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more efficient. Our Algorithm Discovery Platform brings together biology, computational neuroscience, AI research and software engineering to develop new algorithms, architectures and neurally-optimized software for generative video and next-generation AI infrastructure.
Today, we are commercializing neurally optimized models that run on conventional GPU and cloud infrastructure. Longer term, we are building toward real-time biological compute, where real neurons operate alongside silicon as part of the compute stack.
Our interdisciplinary team includes researchers and engineers with experience at Apple, Johns Hopkins, Meta, MIT, Stanford and other leading institutions.
About the Role
We are building next-generation video generation models that enable robots to learn, plan, and act through imagined futures.
As a Senior AI Researcher, you will own significant research problems within TBC's video generation-modeling platform. You will design and scale models that serve as reliable foundations for policy learning, control, and real-world deployment.
This is a senior, hands-on research role for someone who can move from first-principles thinking to implementation, experimentation and system-level evaluation. You will make important architectural and modeling decisions, define technical milestones, identify risks early and help determine which research directions should become platform capabilities and products.
You will work closely with TBC's founders, AI researchers, computational neuroscientists, biologists, engineers and product leaders. You will also help translate computational principles discovered through experiments on living neural networks into new video-model architectures, learning approaches and software systems.
What You'll Work on
  • Design video generation models with expressive latent representations, stable rollouts, and control-oriented predictions
  • Improve long-horizon rollout fidelity under autoregressive use, not only one-step prediction accuracy
  • Integrate video priors, physical structure, and object-centric representations into learned control systems
  • Evaluate trade-offs across fidelity, robustness, latency, and inference cost in real robotic settings
  • Own major research workstreams from hypothesis through implementation, experimentation, and evaluation
  • Identify modeling, training, and scaling risks before they become blockers
  • Partner closely with founders, product leaders, engineers, and researchers to translate research into platform capabilities
  • Support other researchers and engineers through technical guidance, mentorship, and collaboration
What We're Looking For
  • Strong background in machine learning, computer vision, robotics, or a related field
  • Deep experience with one or more of the following:
  • Generative models, including diffusion, autoregressive video, or sequence models
  • Model-based reinforcement learning or planning
  • System identification, physics-informed learning, or simulation
  • Hands-on experience designing and training generative models rather than only applying established architectures
  • Strong understanding of long-horizon prediction, autoregressive rollout, and the failure modes that emerge when models operate on their own outputs
  • Experience working across model architecture, training systems, experimentation, and evaluation
  • Ability to take ambiguous research problems from first principles through implementation
  • Strong technical judgment and experience making meaningful modeling or architectural decisions
  • Ability to reason clearly about trade-offs across model quality, control utility, latency, robustness, and compute
  • Comfort working closely with research, engineering, product, and leadership
  • Evidence of improving the technical quality or effectiveness of the people around you
What Success Looks Like
  • Learned simulators provide reliable environments for policy learning and control
  • Video generation models remain coherent and useful under long-horizon rollout
  • Policies learn faster or generalize better by training inside learned models
  • Systems successfully bridge simulation and reality through digital twins, online adaptation, or related approaches
  • Important modeling and scaling risks are identified and addressed early
  • Research advances translate into measurable platform and product progress
  • Major research workstreams move from hypothesis to validated system capability
  • The broader team moves faster and makes stronger technical decisions because of your contributions
  • TBC develops a clear understanding of when video models create leverage-and when they do not
    Preferred Qualifications
  • PhD or MS in Computer Science, Machine Learning, Robotics, or a related field
  • Research or industry experience in world models, embodied AI, generative video, robot learning, or learned simulation
  • Experience training policies inside learned simulators or over imagined trajectories
  • Experience with action-conditioned video prediction or controllable generative models
  • Experience connecting learned models to real robotic systems
  • Familiarity with latent-action models, cross-embodiment learning, or learning from human video
  • Experience with object-centric representations, physical priors, or structured dynamics models
  • Experience with digital twins, sim-to-real transfer, online adaptation, or closed-loop data collection
  • Experience scaling research systems across large datasets or distributed training environments
  • Publications at leading machine-learning, computer-vision, or robotics venues

Apply