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Remote Ai Infrastructure Engineer Jobs in Reno, NV

Switch, Inc.

Controls Engineer III

Reno, NV · On-site +1

$83K - $107K/yr

Program, install, and commission BMS control devices and supporting infrastructure. * Conduct ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Switch

Controls Engineer III

Sparks, NV · On-site +1

$83K - $108K/yr

Program, install, and commission BMS control devices and supporting infrastructure. * Conduct ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Echo Global Logistics

Sr. Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

You will lead technical initiatives, establish patterns for AI/ML integration, and champion ... Expertise in infrastructure as code and GitOps practices * AWS Certifications (Solutions Architect ...

Switch

Data Center MEP Field Manager

Sparks, NV · On-site +1

... digital infrastructure that powers the progress of humanity. The Role: Data Center MEP Field ... Resolve field design issues in partnership with engineering and project management teams. * Develop ...

micro1 AI

Director of Biostatistics

Sparks, NV · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

micro1 AI

Director of Biostatistics

Reno, NV · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

micro1 AI

Director of Biostatistics

Reno, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Sparks, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Varsity Tutors

Civil Engineering Tutor

Reno, NV · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes applying engineering principles to real infrastructure challenges and connects civil ...

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All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Reno, NV

Remote Ai Infrastructure Engineer information

See Reno, NV salary details

$46.4K

$126.7K

$181.5K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote ai infrastructure engineer in Reno, NV is $126,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Reno, NV?

For Remote Ai Infrastructure Engineer jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Reno, NV look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Reno, NV are:

What cities near Reno, NV are hiring for Remote Ai Infrastructure Engineer jobs?

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Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution, with an average salary of $126,694 per year, or $60.9 per hour.

Bioinformatics Software Engineer

Reno, NV • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 24 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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