Post Doctoral Researcher
$60K - $70K/yr
Familiarity with interdisciplinary methods involving data science, AI/ML applications, and infrastructure monitoring technologies. * Advanced ability to synthesize research findings and contribute to ...
Post Doctoral Researcher
$60K - $70K/yr
Familiarity with interdisciplinary methods involving data science, AI/ML applications, and infrastructure monitoring technologies. * Advanced ability to synthesize research findings and contribute to ...
Ai Infrastructure information
See Dallas, WI salary details
$27.73 - $33.03
3% of jobs
$33.03 - $38.34
3% of jobs
$38.34 - $43.64
13% of jobs
$46.88 is the 25th percentile. Wages below this are outliers.
$43.64 - $48.94
10% of jobs
$48.94 - $54.24
12% of jobs
The median wage is $57.42 / hr.
$54.24 - $59.54
16% of jobs
$59.54 - $64.84
16% of jobs
$66.17 is the 75th percentile. Wages above this are outliers.
$64.84 - $70.14
11% of jobs
$70.14 - $75.44
9% of jobs
$75.44 - $80.74
5% of jobs
$80.74 - $86.04
3% of jobs
$27
$58
$86
How much do ai infrastructure jobs pay per hour?
As of Aug 25, 2026, the average hourly pay for ai infrastructure in Dallas, WI is $58.36, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $68.03 per hour, depending on experience, location, and employer.
What is AI infrastructure?
AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.
What are the key skills and qualifications needed to thrive in AI infrastructure?
To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.
What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?
Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.
What is the difference between Ai Infrastructure vs Data Engineer?
| Aspect | Ai Infrastructure | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI tools | Bachelor's in CS, Data Science, or related; programming and database skills |
| Work Environment | Cloud environments, AI model deployment, infrastructure setup | Data pipelines, database management, data processing |
| Employer & Industry Usage | Tech companies, AI startups, cloud providers | Tech firms, finance, healthcare, e-commerce |
Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.
What are AI infrastructure jobs?
AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.
What cities near Dallas, WI are hiring for Ai Infrastructure jobs?
Cities near Dallas, WI with the most Ai Infrastructure job openings:
Post Doctoral Researcher
Downing, WI
Howard
$60K - $70K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 2 days ago
Job description
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
- Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
- Work-Life Balance: PTO, paid holidays, flexible work arrangements
- Financial Wellness: Competitive salary, 403(b) with company match
- Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
- Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture
Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
JOBPURPOSE:
The purpose of this position is to perform highly skilled research or analyses involving complex scientific methods or a complex series of steps. Responsible for overseeing or conducting critical parts of research projects. May also perform the day-to-day coordination of a research group, taking charge of the execution of parts of a research project. This position typically reports to a Principal Investigator (PI).
SUPERVISORYAUTHORITY:
NA
NATUREANDSCOPE:
Support transportation engineering research at Howard University. The role engages with internal faculty and researchers, as well as external partners..
PRINCIPALACCOUNTABILITIES:
- Support the University Transportation Center's mission by helping manage research activities, education and outreach efforts, workforce development programming, and technology transfer initiatives.
- Under the guidance of the Principal Investigator, support the planning and execution of federally funded research projects.
- Participate in the collection, analysis, and interpretation of transportation engineering data, including field deployments and laboratory work.
- Collaborate with faculty and research teams.
- Contribute to the preparation of research proposals, technical reports, presentations, and peer-reviewed publications.
- Help facilitate workshops, seminars, and public engagement activities related to transportation engineering research.
- Assist with reporting requirements for sponsored research projects.
CORECOMPETENCIES:
- Demonstrated research expertise in transportation engineering, with a strong foundation in transportation systems, structural safety, and intelligent infrastructure.
- Familiarity with interdisciplinary methods involving data science, AI/ML applications, and infrastructure monitoring technologies.
- Advanced ability to synthesize research findings and contribute to scholarly publications and professional presentations.
- Excellent organizational skills, with the ability to manage multiple tasks and coordinate with diverse stakeholders.
- Strong written and oral communication skills.
- Ability to work independently and collaboratively within an academic and professional environment.
- Competence in statistical and computational tools used in transportation research.
- Commitment to enhancing transportation safety and innovation through research.
MINIMUMREQUIREMENTS:
Ph.D. in a scientific and/or research discipline related to the research project
Compliance Salary Range Disclosure
$60,000-$70,000