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Remote Llm Trainer 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 Trainer information

What is a remote LLM trainer?

Remote LLM Trainers are professionals who work from any location to help train large language models (LLMs) by providing high-quality data, evaluating model outputs, and refining model behavior. They may annotate data, review AI-generated content, or design prompts and tasks to improve the model's performance. These roles are crucial in ensuring that LLMs become more accurate, safe, and useful across various applications. Remote LLM Trainers often have backgrounds in language, linguistics, data science, or related fields and rely on digital tools to collaborate with AI development teams.

What does a remote LLM trainer do?

As a Remote LLM Trainer, your workday often involves creating, curating, and reviewing datasets, developing prompts, and evaluating large language model outputs for quality and safety. Much of your collaboration happens asynchronously through digital channels—such as project management tools, messaging platforms, and regular video meetings—with researchers, data scientists, and fellow trainers. You may also participate in feedback sessions to discuss model behavior and share insights on improving training methodologies. Adapting to rapidly evolving project requirements and maintaining clear communication are key to success in this distributed, fast-paced environment.

What are the key skills and qualifications needed to thrive as a remote LLM trainer?

To thrive as a Remote LLM Trainer, you need a deep understanding of machine learning, natural language processing, and large language models, typically supported by a degree in computer science or related fields. Experience with Python, deep learning frameworks like TensorFlow or PyTorch, and familiarity with annotation tools or data labeling platforms is essential. Strong communication, attention to detail, and the ability to work independently are standout soft skills in this role. These skills and qualities ensure accurate model training, effective collaboration with distributed teams, and the delivery of high-quality AI solutions.

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

AspectRemote Llm TrainerData Scientist
Required CredentialsBackground in AI, NLP, or machine learning; often a degree in computer science or related fieldDegree in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentRemote, collaborative teams developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and deriving insights
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting, and research organizations

While both roles involve working with data and machine learning, a Remote Llm Trainer specializes in training and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various industries.

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

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

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

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

What job categories do people searching Remote Llm Trainer jobs in Arizona look for?

The top searched job categories for Remote Llm Trainer jobs in Arizona are:

What cities in Arizona are hiring for Remote Llm Trainer jobs?

Cities in Arizona with the most Remote Llm Trainer job openings:

Remote Llm Trainer jobs near you
Infographic showing various Remote Llm Trainer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Manager, Application & AI Security

Provn

Scottsdale, AZ • Remote

$137K - $206K/yr

Full-time

Re-posted 4 days 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