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

As of Sep 13, 2026, the average hourly pay for evening remote artificial intelligence 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 an evening remote artificial intelligence specialist?

An Evening Remote Artificial Intelligence job involves working on AI-related tasks, such as developing machine learning models, analyzing data, or supporting AI systems, during evening hours from a remote location. These positions are ideal for those who prefer flexible schedules or need to balance other commitments during the day. Responsibilities may include programming, researching AI technologies, or collaborating with teams virtually. Evening remote AI roles can be found in various industries like technology, healthcare, finance, and more.

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

To thrive as an Evening Remote Artificial Intelligence Specialist, you need a solid background in computer science, machine learning, and data analysis, often supported by a relevant degree and experience with AI projects. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and self-motivation are key soft skills for collaborating remotely and managing evening schedules. These skills ensure high-quality AI solutions, seamless remote teamwork, and the flexibility needed to succeed in non-traditional work hours.

What are some typical challenges faced by professionals working evening remote shifts in artificial intelligence roles?

Evening remote AI professionals often encounter challenges such as managing collaboration across different time zones, maintaining work-life balance, and staying connected with team meetings or updates that occur during regular business hours. Additionally, working evenings may mean troubleshooting urgent issues independently, as immediate support from colleagues or supervisors may be limited. To succeed in this environment, strong self-management skills and proactive communication are essential, as is leveraging asynchronous tools to stay aligned with the broader team.

What is the difference between Evening Remote Artificial Intelligence vs Evening Remote Data Science?

AspectEvening Remote Artificial IntelligenceEvening Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in Data Analysis/Science
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Industry UsageTech companies, startups, research institutionsTech firms, finance, healthcare, research organizations
Search & Comparison IntentUnderstanding AI-specific roles and skillsUnderstanding data analysis and science roles

While both roles are remote and require similar educational backgrounds, Evening Remote Artificial Intelligence focuses on developing AI models and algorithms, whereas Evening Remote Data Science emphasizes analyzing data to inform business decisions. Both are in high demand across tech and research industries, but AI roles often require specialized knowledge in machine learning and neural networks.

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Evening Remote Artificial Intelligence jobs near you
Infographic showing various Evening Remote Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 20% Full Time, 40% Part Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

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

San Francisco, CA • Remote

Ginas Tech Jobs
See more jobs at Ginas Tech Jobsexternal

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 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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