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Remote Nvidia Deep Learning Jobs in Wisconsin (NOW HIRING)

Jobgether

Sr. Director of Sales - REMOTE

WI · Remote

Strong background in AI, Machine Learning, or Customer Experience technologies. * Proven track ... Deep understanding of sales methodologies like MEDDIC or Challenger. * Ability to build your own ...

APR

Commercial Lines CSR

Stevens Point, WI · On-site +1

$65K - $100K/yr

Embrace the future of work with our fully remote option, tailored for the exceptional candidate ... Proud holder of a P&C license , with a deep dive knowledge of insurance products and documentation.

Jobgether

Senior Product Manager, HRIS Integrations

WI · On-site +1

$122K - $161K/yr

The role involves deep collaboration with APIs, partner systems, and internal engineering teams to ... Fully remote working model with flexible hours and asynchronous collaboration * Equity or stock ...

Demco

Interior Design Supervisor

Madison, WI · On-site +1

At Demco, we believe thoughtfully designed learning spaces change lives. Every library created ... Hybrid Preferred | Dane County, WI (Madison) | Remote candidates considered As Interior Design ...

Jobgether

Deputy CTO (AI Product)

WI · On-site +1

Strong backend engineering background with deep understanding of system architecture; experience in ... Strong curiosity and continuous learning mindset, with willingness to experiment and adopt new ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

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Remote Nvidia Deep Learning jobs near you
Defense AI Alignment Specialist - Remote

Defense AI Alignment Specialist - Remote

micro1 AI

Madison, WI • Remote

$50 - $90/hr

Part-time

Posted 12 days ago

Job description

Role Title: Military Operations & IHL Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Military Operations & IHL Experts to contribute to a prominent defense-policy and humanitarian-law 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. You will leverage your deep understanding of warfighting, weapons targeting, defense operations, and international humanitarian law to support the development of frameworks that responsibly evaluate military and humanitarian scenarios. This is a unique opportunity to influence technology at the intersection of operational expertise and conflict ethics while working alongside other experts at the forefront of these domains.


Scope of Work

  1. Develop comprehensive taxonomies for military-use and defense operations within diverse conflict contexts.
  2. Create dual-use triage frameworks that help distinguish between military and civilian applications of technology and knowledge.
  3. Establish clear boundaries for prohibited assistance under international humanitarian law, providing structured input for AI training and evaluation.
  4. Design conflict-risk rubrics and scenario-based evaluation tools to assess operational and ethical implications of defense activities.
  5. Evaluate and refine policy-relevant benchmarks to ensure responsible testing of AI models in defense and humanitarian contexts.
  6. Contribute written and verbal analyses articulating complex warfighting, targeting, and IHL concepts for interdisciplinary audiences.


Preferred Qualifications

  1. 5+ years of relevant military, defense analysis, or IHL experience; ideally 8–20 years for senior contributors.
  2. Advanced degree (e.g., MA, LLM, PhD) or equivalent operational experience in military science, security studies, international law, or related fields.
  3. High credibility and established track record in warfighting, operational planning, targeting law, or humanitarian law application.
  4. Expertise in interpreting and applying conflict ethics, IHL, and defense policy frameworks in real-world scenarios.
  5. Exceptional written and verbal communication skills, with the ability to convey technical and ethical concepts clearly and concisely.
  6. Experience in research, policy analysis, or advisory roles within military, governmental, legal, or think-tank environments.
  7. Prior involvement with conflict analysis, war-crimes investigation, or weapons-policy development is a strong plus.

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