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Ai Prompt Training Jobs in Iowa (NOW HIRING)

Meta

IA · On-site

$193K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... training workloads at hyperscale About Meta: Meta builds technologies that help people connect ...

Pwc

AI Engineer

Des Moines, IA

$50K - $112K/yr

... training and/or progressively responsible work experience in Engineering with AI and Machine ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

Pwc

ERP AI Engineer - Manager

Des Moines, IA

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...

Apex Systems

Sr. Software Engineer

Des Moines, IA · On-site

$119K - $157K/yr

Apply advanced prompt engineering to direct AI tools for code generation, debugging, and ... We offer quality career resources, training, certifications, development opportunities, and a ...

Fleming's

Host

West Des Moines, IA · On-site

Text HELP for help or smshelp@paradox.ai . Msg&data rates may apply. Msg freq varies. Text STOP to ... Our first in class training programs enable our restaurants to have a positive environment to learn ...

Meta

Critical Facility Engineer

Cedar Rapids, IA

$88K/yr

Successfully complete personnel qualification standards (PQS) training * Provides technical ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Wells Fargo

Senior Systems Operations Engineer

Des Moines, IA · Hybrid

$102K - $139K/yr

... training, military experience, education * 3+ years of demonstrated experience leading Production ... Understanding of AI operational concerns such as model observability, prompt/configuration change ...

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Ai Prompt Training information

What is AI prompt training?

AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.

What are the key skills and qualifications needed to thrive as an AI prompt trainer, and why are they important?

To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.

What are some common challenges faced by professionals in AI prompt training and how can they be addressed?

Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.

What is the difference between Ai Prompt Training vs Ai Content Writer?

AspectAi Prompt TrainingAi Content Writer
Required CredentialsKnowledge of AI models, training techniques, and prompt engineeringWriting skills, SEO knowledge, and content creation experience
Work EnvironmentTech companies, AI labs, remote or office-based roles focused on AI model developmentMarketing agencies, media companies, or freelance platforms creating written content
Employer & Industry UsageUsed by AI developers and tech firms to improve AI interactionsUsed by content marketing and publishing industries to produce engaging articles

While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.

Where can I learn how to prompt AI?

To learn how to prompt AI for an AI Prompt Training role, you can explore online courses, tutorials, and workshops focused on natural language processing, prompt engineering, and AI tools like ChatGPT. Developing skills in understanding AI behavior and experimenting with different prompts is essential for effective training and optimization.

What are popular job titles related to Ai Prompt Training jobs in Iowa?

For Ai Prompt Training jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Ai Prompt Training jobs in Iowa look for?

The top searched job categories for Ai Prompt Training jobs in Iowa are:

Ai Prompt Training jobs near you
Infographic showing various Ai Prompt Training job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 17% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

IA • On-site

$193K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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