2

Remote Ai Infrastructure Engineer Jobs in Reno, NV

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 ...

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 ...

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 ...

OUR VISION Equs is a company building privacy-first AI, identity, and trust infrastructure for the ... You are self-directed in a remote setting, managing your own time and keeping work moving. YOUR ...

OUR VISION Equs is a company building privacy-first AI, identity, and trust infrastructure for the ... You are self-directed in a remote setting, managing your own time and keeping work moving. YOUR ...

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 ...

Showing results 21-40

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 17, 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?

Cities near Reno, NV with the most Remote Ai Infrastructure Engineer job openings:

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.

Director of Biostatistics

micro1 AI

Sparks, NV • Remote

$60 - $100/hr

Part-time

Posted 11 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: 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 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. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.