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Remote Artificial Intelligence Neuroscience Jobs

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

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

As of Aug 21, 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 August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Artificial Intelligence Associate Attorney

Direct Counsel

Palo Alto, CA • On-site, Remote

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

Associate Attorney – Artificial Intelligence

Direct Counsel is seeking an Associate Attorney to join a leading AmLaw 100 law firm’s rapidly growing Artificial Intelligence practice. This is a highly substantive, client-facing opportunity for an attorney with 2–4 years of experience who is interested in working at the intersection of artificial intelligence, emerging technology, regulation, litigation, and corporate transactions.

The ideal candidate will have experience in regulatory/advisory, corporate transactional, or litigation matters and be interested in developing a practice focused on cutting-edge AI issues. Candidates with either a litigation or corporate background are encouraged to apply, provided they are open to working across corporate, regulatory, and litigation matters.

Locations

Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; New York, NY; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE

Responsibilities

  • Advise clients on AI governance, regulatory compliance, and risk, including emerging AI transparency, disclosure, and regulatory requirements.

  • Monitor developments in AI law and regulation and translate emerging requirements into practical, client-ready guidance.

  • Support AI-related corporate and technology transactions, including due diligence, drafting and negotiating agreements, and identifying and mitigating AI-specific risks.

  • Develop subject matter expertise in AI issues within the corporate transactional context and serve as a resource to deal teams across the firm.

  • Conduct legal research and draft briefs, motions, memoranda, correspondence, and other high-quality legal work product in support of litigation and regulatory matters.

  • Support fact development, discovery, depositions, and case strategy in litigation and regulatory investigations.

  • Work collaboratively with attorneys across AI, corporate, litigation, and regulatory practices.

  • Build and maintain strong client relationships through effective communication and practical legal advice.

  • Stay current on emerging developments in artificial intelligence, technology, and related legal and regulatory frameworks.

Qualifications

  • J.D. from an accredited law school with strong academic credentials, preferably from a nationally recognized law school.

  • 2–4 years of relevant legal experience, preferably gained at an AmLaw 100 or other top-tier law firm.

  • Experience in one or more of the following areas: regulatory/advisory, corporate transactional, technology transactions, litigation, or regulatory matters.

  • Willingness and ability to work on a mix of corporate and litigation/regulatory matters.

  • Excellent legal research, writing, analytical, and problem-solving skills.

  • Strong judgment and attention to detail.

  • Excellent written and verbal communication skills.

  • Ability to produce polished, high-quality work product under tight deadlines.

  • Strong organizational skills and the ability to manage competing priorities.

  • Ability to work effectively both independently and collaboratively.

  • Admission, or eligibility for admission, in the relevant jurisdiction.

Preferred Qualifications

  • Genuine interest in artificial intelligence and emerging technology.

  • Prior experience advising on AI-related legal or regulatory issues.

  • Experience with technology transactions or AI-related corporate matters.

  • Experience with regulatory investigations or litigation involving emerging technologies.

Compensation & Benefits

The anticipated salary range for this position is $235,000–$310,000 per year, depending on experience, skills, educational and professional background, and overall qualifications. The firm offers a comprehensive benefits package, including medical, dental, vision, and 401(k) benefits.

Work Arrangement

This position offers a hybrid work arrangement combining remote and in-office work, with the specific arrangement determined at the time of hiring.