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Contract Brain Computer Interface Jobs (NOW HIRING)

Orbit Neuro

Expression of Interest

San Francisco, CA · On-site

Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction. Our wearable BCI achieves fMRI-comparable ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

Neara

Vice President of Market Access

Santa Clara, CA · On-site

$200 - $250/hr

New York, New York, United States Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Neurable, INC

Software Developer

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Neuralink

Software Engineer, BCI Applications

Austin, TX · On-site

$150K - $281K/yr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

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Contract Brain Computer Interface information

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$11K

$123.4K

$173.5K

How much do contract brain computer interface jobs pay per year?

As of Jul 30, 2026, the average yearly pay for contract brain computer interface in the United States is $123,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $164,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Brain Computer Interface vs Contract Neural Engineer?

AspectContract Brain Computer InterfaceContract Neural Engineer
Required CredentialsTypically requires neuroscience, biomedical engineering, or related degrees; experience with BCI technologyRequires neuroscience, biomedical engineering, or related degrees; expertise in neural systems and signal processing
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, healthcare facilities
Employer & Industry UsageTech companies developing BCI devices, research institutionsBiomedical companies, research labs focusing on neural systems

Both roles involve working with neural systems and require similar educational backgrounds. Contract Brain Computer Interface specialists focus on developing and implementing BCI devices, while Contract Neural Engineers work on understanding neural signals and designing neural interfaces. The main difference lies in their specific focus areas within neural technology development.

What are some common challenges faced by professionals working on a contract basis in Brain-Computer Interface (BCI) projects?

One common challenge for contract professionals in BCI is quickly adapting to diverse project scopes and rapidly changing technologies. Since many teams are interdisciplinary, you may need to collaborate closely with neuroscientists, software engineers, and hardware specialists, which requires strong communication skills and flexibility. Additionally, contract roles often require independent time management and the ability to deliver results within tight deadlines, as projects can be highly research-driven and iterative. Building a network within the BCI community and staying updated with the latest advancements can help you overcome these challenges and succeed in a contract-based environment.

What are Contract Brain Computer Interface specialists?

Contract Brain Computer Interface (BCI) specialists are professionals hired on a contract basis to work on projects involving the development, implementation, or integration of technologies that connect the human brain with computers or external devices. These specialists may be involved in designing BCI systems, developing software and hardware, conducting research, or supporting clinical applications. Their work is often project-based and can span industries such as healthcare, neuroscience, gaming, and assistive technology. Contract BCI specialists typically have expertise in neuroscience, engineering, computer science, or related fields, and they bring their skills to organizations needing temporary or specialized BCI expertise.

What are the key skills and qualifications needed to thrive as a Contract Brain Computer Interface (BCI) Engineer, and why are they important?

To thrive as a Contract BCI Engineer, you typically need expertise in neuroscience, signal processing, programming (e.g., Python, MATLAB), and a relevant degree in biomedical engineering, neuroscience, or computer science. Familiarity with BCI hardware/software platforms, data acquisition systems, and certifications in neurotechnology tools are commonly required. Strong problem-solving, collaboration, and communication skills help you effectively work with interdisciplinary teams and adapt to project needs. These skills are crucial for developing innovative, reliable BCI solutions that translate neural signals into actionable data for real-world applications.
More about Contract Brain Computer Interface jobs
What cities are hiring for Contract Brain Computer Interface jobs? Cities with the most Contract Brain Computer Interface job openings:
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Contract Brain Computer Interface jobs near you
Infographic showing various Contract Brain Computer Interface job openings in the United States as of July 2026, with employment types broken down into 5% As Needed, 69% Full Time, 19% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $123,374 per year, or $59.3 per hour.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.The Role:

As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.

You’ll Work Across:

  • Large-scale EEG model training runs and evaluation

  • Architecture and training methodology ablations and innovations

  • Dataset collection and preprocessing for EEG and other BCI modalities

  • Performance optimization of the training stack

  • Integration of models into real-world BCI applications

What We're Looking For / Requirements:

  • Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module

  • Excellent communication and collaboration skills, with clean and concise coding practices

  • Strong implementation and prototyping skills, with comfort working across both research and engineering at scale

  • Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain

  • Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space

  • Proficiency with PyTorch and Python

Qualifications / Additional Skills:

  • Experience with VAEs, GANs, diffusion models, and contrastive learning

  • Familiarity with signal processing (especially for EEG) and time-series analysis

  • Experience training on large-scale (multi-node) GPU clusters

  • Experience contributing to large existing codebases and ramping up quickly

  • Previously published machine learning research in well-respected venues

Why Work at Zyphra:

  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment