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Remote Llm Training Jobs in Arizona (NOW HIRING)

Provn

Manager, Application & AI Security

Scottsdale, AZ · Remote

$137K - $206K/yr

... training, and SBOM generation. * Hold the central AI-governance mandate: LLM and Copilot usage ... Remote within the US, leading the App and AI Security team (currently three, growing to four or ...

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Remote Llm Training information

What is remote LLM training?

Remote LLM training refers to the process of training large language models (LLMs), such as GPT or similar AI models, on distributed computing resources that are accessed remotely. This allows data scientists and AI engineers to leverage powerful hardware, like GPUs or TPUs, which may not be available locally. Remote LLM training is commonly used to handle the massive computational requirements of modern AI models and enables collaboration among teams in different locations. It also provides scalability, flexibility, and cost-effectiveness for organizations working on advanced AI projects.

What skills and qualifications are needed for remote LLM training?

To excel in Remote LLM Training, you need a strong background in machine learning, natural language processing, and computer science, often demonstrated by a relevant degree or industry experience. Familiarity with frameworks like PyTorch or TensorFlow, experience with large-scale data management, and knowledge of distributed computing systems are typically required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills in this remote, collaborative environment. These competencies ensure efficient model training, high-quality output, and seamless teamwork across distributed teams.

What are common challenges in remote LLM training, and how can they be addressed?

Professionals in remote LLM (Large Language Model) training roles often face challenges such as managing distributed team communication, ensuring data privacy, and handling large-scale computational resources. Staying organized with asynchronous collaboration tools and maintaining clear documentation can help streamline teamwork. Additionally, understanding cloud-based infrastructure and adhering to strict data security protocols are essential for handling sensitive datasets. Regular check-ins and knowledge-sharing sessions also foster a supportive and productive remote work environment.

What is the difference between Remote Llm Training vs Data Scientist?

AspectRemote Llm TrainingData Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, domain expertise
Work EnvironmentRemote, collaborative teams, AI/ML companiesRemote or on-site, diverse industries
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Remote Llm Training focuses on developing and fine-tuning large language models, requiring expertise in NLP and machine learning. Data Scientists analyze data to extract insights and build models across various industries. While both roles involve programming and data skills, Remote Llm Training is specialized in AI model development, whereas Data Scientists work on broader data analysis tasks.

What are the most commonly searched types of Llm Training jobs in Arizona?

The most popular types of Llm Training jobs in Arizona are:

What are popular job titles related to Remote Llm Training jobs in Arizona?

For Remote Llm Training jobs in Arizona, the most frequently searched job titles are:

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Remote Llm Training jobs near you

Manager, Application & AI Security

Provn

Scottsdale, AZ • Remote

$137K - $206K/yr

Full-time

Re-posted 15 hours ago

Job description

Manager, Application & AI Security

arrivia Remote (US) Full-time

https://provn.co/org/arrivia/jobs/a9c66316-d11f-4733-b11f-914dddd28c06/manager-application-ai-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-mgr-ai-security

About arrivia

arrivia specializes in making brands better through the power of travel, powering loyalty and membership travel programs. Formed from the merger of ICE, SOR Technology, and WMPH Vacations, the company brings more than 55 years of combined experience and operates on both US coasts and around the world.

About the Role

This role keeps arrivia's applications, cloud, and AI usage governed and secure-by-default, so delivery speed never outruns risk review. You will own the secure software development lifecycle per NIST SSDF and ISO/IEC 27001, CI/CD golden-pipeline guardrails and artifact integrity, application security testing across API and the OWASP Top 10, container and Kubernetes and IaC scanning, threat modeling, SBOM generation, and cloud tenant guardrails at the application layer. You will also hold the central AI-governance mandate: LLM and Copilot usage policy, the AI and model inventory and AI-BOM, the model registry and approval workflow, prompt-injection and jailbreak testing, LLM red-teaming, and MCP and AI-agent runtime security. You will report to the EVP of IT and Security and CIO and lead the App and AI Security team of roughly four to five.

What You'll Do
  • Own the secure SDLC per NIST SSDF and ISO/IEC 27001, including application security reviews for major releases.
  • Own CI/CD golden-pipeline guardrails, pipeline and artifact integrity, and pipeline monitoring.
  • Run application security testing across API security, OWASP ASVS, and the OWASP Top 10 and API Security Top 10.
  • Own container, Kubernetes, and IaC scanning, threat modeling, secure-code training, and SBOM generation.
  • Hold the central AI-governance mandate: LLM and Copilot usage policy and data-leakage and shadow-AI controls under NIST AI RMF and ISO/IEC 42001.
  • Run prompt-injection and jailbreak testing and LLM red-teaming, and secure MCP and AI-agent runtimes with per-tool-call authorization and containment.
What We're Looking For
  • A degree in computer science, cybersecurity, or a related field, or a minimum of 7 years in security; 5+ years in application security and/or DevSecOps, including team leadership.
  • Hands-on experience building security into CI/CD as guardrails-as-code (Azure DevOps, GitHub Actions, GitLab, Jenkins).
  • Strong application security testing across SAST, DAST, SCA, secrets scanning, and API security (Checkmarx, Veracode, Snyk).
  • Knowledge of API security architecture and standards such as OAuth2, OWASP, and CIS; experience with containers, Kubernetes, IaC, threat modeling, and SBOMs.
  • Working knowledge of AI/LLM security: usage governance, prompt-injection and jailbreak testing, LLM red-teaming, and MCP/AI-agent runtime controls; familiarity with NIST AI RMF and ISO 42001.
  • CISSP or CCNP-Security required; CSSLP, CCSP, or CISM preferred.
Compensation and Benefits

$137,000-$206,000. Remote within the US, leading the App and AI Security team (currently three, growing to four or five).

How to Apply

To apply for this role, you must create an account on provn.co and submit all required application artifacts. Resume only applications may be considered, but candidates who complete a full application are reviewed with priority.

How hiring works here

Referrals are king for getting an interview. But what if you don't have a referral? Applying with Provn is designed to help you get more interviews. Instead of sending a cold resume into an ATS and waiting, you will complete a challenge built by arrivia and submit a short video walking through your approach. No time limit. No timers. No restrictions on AI usage. Show how you build with AI.

Why that works in your favor:

  • You show how you actually build and ship with coding agents, instead of hoping a resume communicates your skill clearly.
  • Your judgment with AI becomes visible, which no "proficient with AI coding agents" resume bullet can prove.
  • One challenge puts you in front of the security team, scored on the work. Priority without a referral!

The hiring manager reviews every completed submission, and strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.

For this role, the challenge is a significant part of your candidacy. If you have been looking for a foot in the door, a chance to show what you can do, if you have ever felt like all you needed was ten minutes with the hiring manager to prove yourself, this is that opportunity.

https://provn.co/org/arrivia/jobs/a9c66316-d11f-4733-b11f-914dddd28c06/manager-application-ai-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-mgr-ai-security