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Remote Artificial Intelligence Psychology Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as R&D Engineer - Artificial Intelligence (ARL) - Intermediate Professional, this ...

Statheros

Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for professional development and research contributions * Access to state-of-the-art resources and tools for AI ...

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Remote Artificial Intelligence Psychology information

What is a remote artificial intelligence psychology?

A Remote Artificial Intelligence Psychology job involves studying how humans interact with AI systems and how AI can be designed to better understand, predict, and respond to human behavior and emotions. Professionals in this field may analyze user data, conduct psychological research, and collaborate with AI developers to create more human-centric technologies. Working remotely, they use digital tools to conduct research, run experiments, and communicate with colleagues. This role combines expertise in psychology, data analysis, and artificial intelligence to improve user experience and the ethical development of AI.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence psychology specialist?

To thrive as a Remote Artificial Intelligence Psychology Specialist, you need a strong background in psychology, data analysis, and AI principles, often supported by advanced degrees in psychology, cognitive science, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data visualization tools, and programming languages like Python is typically required, along with certifications in AI or data science. Outstanding soft skills include analytical thinking, problem-solving, and effective remote communication to bridge the gap between technology and human behavior. These skills are crucial for developing ethical, user-centered AI systems that accurately model and support mental and emotional well-being.

How does a professional in remote artificial intelligence psychology typically collaborate with cross-functional teams to integrate psychological insights into AI systems?

Professionals in Remote Artificial Intelligence Psychology often work closely with data scientists, software engineers, UX designers, and product managers to ensure that psychological principles are effectively integrated into AI-driven products. This usually involves participating in virtual meetings to provide expertise on human behavior, designing experiments to test AI responses, and analyzing user interaction data. Effective communication and documentation are essential since team members may be distributed across various time zones. The role requires balancing independent research with collaborative development to create AI systems that are ethical, empathetic, and user-friendly.
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Remote Artificial Intelligence Psychology jobs near you
Infographic showing various Remote Artificial Intelligence Psychology job openings in the United States as of August 2026, with employment types broken down into 49% Full Time, 38% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago

Job description

Job Description

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production.  You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.  This is a hands-on, high-impact role focused on depth.  This position is 100% Remote.

Senior Machine Learning Engineer Responsibilities:

- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.

- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.

- Turn research ideas into working systems that run reliably in production.

- Debug model failures and system issues using real production signals.

- Iterate quickly: ship, measure outcomes, refine, and repeat.

- Collaborate closely with research, product, and engineering to deliver real user impact.

- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.

- Work under real production constraints: latency, cost, reliability, and safety

Senior Machine Learning Engineer Outcomes:

- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.

- Complex production issues are monitored, debugged, and resolved with minimal disruption.

- Training, inference, and data pipelines are robust, scalable, and maintainable over time.

- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback.

- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.

- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals.

Qualifications

Senior Machine Learning Engineer Qualifications:

- Experience building and shipping Machine Learning (ML) systems used by real users.

- Artificial Intelligence (AI) experience required.

- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.

- Experience writing strong, production-quality code and think in systems, not scripts.

- Experience taking ownership, work independently, and push work across the finish line.

- You learn fast, communicate clearly, and improve through iteration.

- Tech Stack:  GPU-based training and inference systems, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Senior Machine Learning Engineer, AI, Artificial Intelligence, Engineering, GPU, JAX, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Senior Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Senior Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

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