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Remote Nvidia Machine Learning Jobs in Miami, FL

Engineering AI Evaluator (PhD)

Miami, FL ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

QA Engineer - AI Trainer

Hollywood, FL ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

QA Engineer - AI Trainer

Sunrise, FL ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Apply Early

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Showing results 1-20

Remote Nvidia Machine Learning information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do remote nvidia machine learning jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote nvidia machine learning in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What cities near Miami, FL are hiring for Remote Nvidia Machine Learning jobs? Cities near Miami, FL with the most Remote Nvidia Machine Learning job openings:

Technical Marketing Lead

Intuition Machines, Inc.

Miami, FL โ€ข On-site, Remote

Full-time

Posted 13 days ago


Job description

Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our best-known product, the hCaptcha security suite.
Our approach is simple: high agency, small teams, and rapid iteration. AI/ML is at the core of our products. We build our systems for speed, with a team distributed around the world.
We're looking for a Technical Marketing Lead who thrives at the intersection of engineering and go-to-market strategy. In this role, you'll take complex product capabilities and translate them into clear, compelling stories that resonate with technical audiences: developers, security teams, and decision-makers alike.
If you have an engineering background and enjoy shaping product narratives, building developer-focused content, and creating programs that drive adoption, this role offers the opportunity to make a significant impact.
Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.
What will you do:
  • Design and run technical marketing campaigns that generate qualified leads and showcase our solutions' value.
  • Develop precise, technically credible messaging, positioning, and value propositions.
  • Create high-impact technical content: whitepapers, solution briefs, blogs, demos, webinars, and competitive insights that empower sales teams and educate customers.
  • Build training resources, demo environments, and competitive analyses to strengthen sales, solutions engineering, and partner success.
  • Represent Intuition Machines as a trusted advisor: presenting at conferences, webinars, and industry events.
  • Partner closely with Product, Engineering, and Sales to ensure technical roadmaps align with marketing strategies.

What we are looking for:
  • 5+ years in technical marketing, product marketing, developer advocacy, or solutions engineering in B2B technology (cybersecurity, identity, or adjacent fields).
  • 5+ years in an engineering role (software, systems, or related technical field).
  • Strong track record creating demos, technical documentation, and developer-facing content.
  • Knowledge of modern go-to-market approaches (PLG, ABM, channel, etc.).
  • Familiarity with open-source communities or developer ecosystems.

What do we offer:
  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting-edge R&D.
  • Flat organization with direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.
Join us as we transform cybersecurity, user privacy, and machine learning online!
Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.