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Remote Ai Product Manager Jobs in Reno, NV (NOW HIRING)

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation ...

AI Training Expert - US Tax Law

Reno, NV ยท Remote

$65 - $70/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation ...

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Remote Ai Product Manager information

See Reno, NV salary details

$51.3K

$158.9K

$196.4K

How much do remote ai product manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote ai product manager in Reno, NV is $158,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $196,400.00 per year, depending on experience, location, and employer.

What does a remote AI product manager do?

A Remote AI Product Manager oversees the development and deployment of artificial intelligence products from a remote location. Their main responsibilities include defining product vision, gathering and prioritizing requirements, working closely with engineering and data science teams, and ensuring the product meets user needs and business goals. They also coordinate with stakeholders, monitor product performance, and iterate based on feedback and data. Effective communication and understanding of AI technologies are crucial for success in this role.

How does a remote AI product manager typically collaborate with cross-functional teams to drive project success?

A Remote AI Product Manager frequently works with distributed teams that include engineers, data scientists, designers, and stakeholders from various departments. Effective collaboration is achieved through regular virtual meetings, clear documentation, and the use of project management tools to track progress and align goals. Communication skills are especially important in this remote setting, as is the ability to bridge technical and business perspectives. By fostering open channels of feedback and maintaining alignment on priorities, a Remote AI Product Manager ensures that projects stay on track and meet user needs.

What are the key skills and qualifications needed to thrive as a remote AI product manager, and why are they important?

To thrive as a Remote AI Product Manager, you need a solid understanding of product lifecycle management, AI/ML concepts, and experience in tech product strategy, usually backed by a relevant degree or industry certifications. Familiarity with tools like Jira, Figma, and platforms like TensorFlow or AWS, as well as agile methodologies, is often required. Exceptional communication, stakeholder management, and problem-solving abilities are crucial soft skills, especially in distributed teams. These competencies ensure the successful delivery of AI products that meet user needs while driving collaboration and innovation across remote environments.

What is the difference between Remote Ai Product Manager vs Remote Data Scientist?

AspectRemote Ai Product ManagerRemote Data Scientist
Required CredentialsBackground in AI, product management certifications, technical knowledgeDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentCross-functional teams, product development lifecycle, strategic planningData analysis, model building, statistical analysis, research
Employer & Industry UsageTech companies, startups, AI-focused organizationsResearch institutions, tech firms, analytics companies

The main difference is that Remote Ai Product Managers focus on guiding AI product development and strategy, while Remote Data Scientists analyze data to build models and extract insights. Both roles require technical skills and often collaborate closely, but their core responsibilities differ in scope and focus.

How much do remote AI product managers get paid?

Remote AI product managers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data analysis can command higher salaries, often exceeding $180,000. Compensation may also include bonuses, stock options, and benefits aligned with industry standards.

Is a remote AI product manager in demand?

Remote AI product managers are in high demand due to the rapid growth of artificial intelligence technologies across industries. Companies seek professionals with skills in AI, product development, and cross-functional collaboration to lead AI initiatives remotely. This role often requires knowledge of machine learning tools and experience managing AI-driven products.

What is the salary of a remote AI product manager?

The salary of a remote AI product manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data analysis may earn higher compensation, often supplemented with bonuses or stock options.

What are popular job titles related to Remote Ai Product Manager jobs in Reno, NV?

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

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

The top searched job categories for Remote Ai Product Manager jobs in Reno, NV are:

What cities near Reno, NV are hiring for Remote Ai Product Manager jobs?

Cities near Reno, NV with the most Remote Ai Product Manager job openings:

Infographic showing various Remote Ai Product Manager job openings in Reno, NV as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $158,937 per year, or $76.4 per hour.

Product Development Chemist - AI Trainer - Remote

micro1 AI

Reno, NV โ€ข Remote

$70 - $90/hr

Part-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.