2

Remote Artificial Intelligence Neuroscience Jobs

This is a remote position. Position Title: Director, Artificial Intelligence (AI) Base Salary: $165,000 to $200,000 annually DOE Bonus: Target annual bonus Benefits: Medical, dental, vision, 401k ...

next page

Showing results 1-20

Remote Artificial Intelligence Neuroscience information

See salary details

$40

$60

$86

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

As of Jul 7, 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 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.

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 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.

What is a Remote Artificial Intelligence Neuroscience job?

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.
More about Remote Artificial Intelligence Neuroscience jobs
What cities are hiring for Remote Artificial Intelligence Neuroscience jobs? Cities with the most Remote Artificial Intelligence Neuroscience job openings:
What are the most commonly searched types of Artificial Intelligence Neuroscience jobs? The most popular types of Artificial Intelligence Neuroscience jobs are:
What states have the most Remote Artificial Intelligence Neuroscience jobs? States with the most job openings for Remote Artificial Intelligence Neuroscience jobs include:
What job categories do people searching Remote Artificial Intelligence Neuroscience jobs look for? The top searched job categories for Remote Artificial Intelligence Neuroscience jobs are:
Infographic showing various Remote Artificial Intelligence Neuroscience job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Artificial Intelligence Architect

Other

Posted 13 days ago


Job description

Artificial Intelligence Architect

Duration: 02/03/2025 - 06/30/2025

Location: Denver, Colorado - 100% remote

Although a fully remote position, ideal candidate would be within the State of Colorado as there is possibility of converting this role to a full time

The AI Program Manager will be a key member of the Chief Data Office team, responsible for driving the strategy and execution of an AI framework within the state government. This role will require a unique blend of technical expertise, strategic vision, and leadership skills, including a close collaboration with OIT resources and agency stakeholders across various state departments to develop product roadmaps, govern AI use cases and ensure alignment with the broader state strategy serving Colorado residents. This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies.

Responsibilities:

The Chief Data Office (CDO) is seeking a skilled and motivated AI Lead role to spearhead the State of Colorado’s efforts in adopting and implementing artificial intelligence across government agencies. This role requires a unique blend of technical expertise, collaborative leadership and ability to drive program details. The AI Lead will be responsible for guiding the development and execution of AI initiatives, ensuring responsible use, fostering innovation, and maximizing the benefits of AI for Colorado residents.

AI Strategy and Implementation
  • Define and champion the vision, strategy and roadmap for AI adoption across state government, aligning with key priorities for Colorado residents
  • Collaborate with agency stakeholders and OIT resources to identify and prioritize AI opportunities that improve efficiency, service delivery, and citizen engagement.
AI Product and Technology Leadership
  • Collaborate with agency stakeholders and product managers to guide the development and deployment of AI solutions.
  • Provide expert advice and support to agencies on AI-related matters, including technology selection, data governance, and responsible AI practices.
  • Stay abreast of advancements in AI technologies, including GenAI, and provide guidance on their responsible application within government.
AI Governance and Compliance
  • Establish and enforce clear processes for AI project assessment, approval, testing, and monitoring to ensure alignment with state objectives and responsible AI principles.
  • Ensure compliance with relevant state and federal laws, regulations, and policies related to AI development and deployment.
  • Contribute to the development and refinement of AI-related policies and regulations to address emerging challenges and opportunities.
  • Proactively identify and mitigate potential biases and risks associated with AI systems to ensure fairness, equity, and accountability.
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
GenAI Expertise:
  • Stay abreast of advancements in GenAI applications and techniques.
  • Understand the cost, data constraints, and potential biases associated with GenAI development and their influence on AI product development.
  • Assist engineers in evaluating GenAI solutions and vendors to ensure they meet the state's requirements for ethical AI and responsible use.
Stakeholder Engagement and Communication:
  • Build and maintain strong relationships with key stakeholders including agency leaders, service owners, technology experts, legal counsel, 3rd party vendors, and community representatives.
  • Facilitate cross-agency collaboration and knowledge sharing on AI initiatives.
  • Raise awareness of AI's potential benefits and risks within the state government.
  • Support training and education on AI products and responsible AI practices.
Champion Responsible AI:
  • Champion responsible AI development and deployment practices across state agencies.
  • Promote transparency and accountability in AI product development and deployment.
  • Reinforce human oversight of AI initiatives to maintain ethical and responsible use.
Attention to Detail:
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
  • The AI Lead must be able to identify and address potential risks and inconsistencies in AI systems, data, and documentation to ensure accuracy, compliance, and ethical considerations are met.
Qualifications:
  • Education and Experience: Bachelor's degree in computer science, data science, or a related field.
    • 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning, natural language processing, and computer vision.
    • 5+ years of experience in a leadership role, with proven ability to develop and implement strategic initiatives.
    • Demonstrated experience in defining product vision, strategy, and roadmaps.
    • Experience in working with cross-functional teams, including engineers, data scientists, and business stakeholders.
    • Experience in product/program management, with a focus on technology or AI-driven products.
    • Experience working in the public sector or with government agencies is highly desirable.
  • Skills and Knowledge:
    • Deep understanding of AI use cases, technologies, ethical considerations, and policy implications.
    • Strong strategic & critical thinking and planning skills.
    • Attention to detail.
    • Strong technical and business communication skills, with the ability to translate complex technical concepts to non-technical audiences.
    • Excellent communication, interpersonal, and presentation skills.
    • Ability to build consensus and collaborate effectively with diverse stakeholders.
    • Knowledge of data governance, security, and privacy best practices.
    • Familiarity with relevant state and federal laws and regulations.
    • Understanding of responsible AI development principles, including fairness, transparency, and accountability.
    • Awareness of cost, and data constraints for GenAI development and their influence on AI product development.
    • Grant proposal development.