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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.

Senior Director, Machine Learning and Artificial Intelligence

ADT Security Services

Boca Raton, FL • Remote

Full-time

Re-posted 6 days ago

ADT rating

7.0

Company rating: 7.0 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

44th of 117 rated security

Job description

Summary:

The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services. 

The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge.

Duties and Responsibilities:

  • Team Leadership: Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence. 
  • Strategic Roadmap: Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision. 
  • End-to-End Deployment: Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring.
  • Cross-Functional Collaboration: Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI. 
  • AI Innovation & Adoption: Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices. 
  • AI Governance & Ethics: Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments.
  • Stakeholder Communication: Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders. 
  • Roadmap Influence: Influence product and operational roadmaps with actionable data insights and active AI deployments. 
  • Data Strategy: Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines. 
  • Education: Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field. 
  • Domain Experience: 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models. 
  • Leadership Experience: 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams. 
  • Technical Expertise: Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs). 
  • Programming & Frameworks: Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face. 
  • Core Skills: Excellent leadership, communication, and project management skills. 
  • Organizational Scaling: Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection.     
  • Executive Presence: Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members. 
  • Infrastructure Knowledge: High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). 

Minimum Qualifications:

Communication Skills:

  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements: 

  • Remote/Home office (Continually=67-100% of the workday)

Travel:

  • Occasionally, less than 25%

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874

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