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Ai Lab Jobs in Arizona (NOW HIRING)

Fluidstack

Lab Technician, Fluidstack Labs

Glendale, AZ · On-site

$152K - $178K/yr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... The lab closes the gap between vendor sample and customer-ready gigawatt infrastructure, and every ...

micro1 AI

AI Training Specialist - Chemistry

Buckeye, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Tempe, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Phoenix, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Tucson, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Peoria, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Gilbert, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Mesa, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

micro1 AI

AI Training Specialist - Chemistry

Yuma, AZ · Remote

$70 - $90/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

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Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Arizona look for?

The top searched job categories for Ai Lab jobs in Arizona are:

What cities in Arizona are hiring for Ai Lab jobs?

Cities in Arizona with the most Ai Lab job openings:

Ai Lab jobs near you
Infographic showing various Ai Lab job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Lab Technician, Fluidstack Labs

Fluidstack

Glendale, AZ • On-site

$152K - $178K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
  • Velocity. We drive everything forward as fast as possible.
  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
The Fluidstack Labs Team
Examples of key problems the team is working on
  • Qualify the hardware the frontier runs on before it runs anywhere else. First samples of next-generation accelerators, switches, storage, and liquid cooling land here, and leave as production-ready platforms with runbooks the whole fleet inherits.
  • Compress silicon-to-production to weeks. The lab closes the gap between vendor sample and customer-ready gigawatt infrastructure, and every week cut here pulls the entire deployment curve forward.
  • Run the lab like a production site. Provisioning, telemetry, demand management, and liquid cooling mirror production architecture exactly, so a qualification pass in the lab is a deployment guarantee in the field.
  • Prove the power envelope nobody else will touch. Dynamic demand management lets AI compute deploy beyond nominal electrical capacity, and the lab validates the full detection-to-shutdown response chain that makes it safe.

Role Scope
  • Own the lab floor: rack-and-stack execution, structured copper and fiber cabling, hardware installs and swaps, and part replacement on first-sample compute, network, and storage platforms, keeping asset records accurate through every change.
  • Receive and inventory every piece of equipment through the lab, handle RMAs end to end, and document installations and change activity physically and photographically so the record matches the floor.
  • Provide smart-hands support for remote engineering teams and hardware partners: cabling diagnosis and replacement, component reseats and swaps, console access, and the on-the-floor eyes that unblock a remote debug session.
  • Support liquid cooling work alongside deployment engineering, including CDU manifold connections and visual leak inspection, with the floor discipline that high-density liquid-cooled racks demand.
  • Act as first point of contact for facility-floor issues, escalating to the lab's technical leads, and escort vendors and partners during on-site visits while keeping their equipment, access, and confidentiality boundaries clean.
What We're Looking For
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've deployed and supported server and network hardware in a live data center or hardware lab: racked it, cabled it, fixed it, and kept it running.
  • You troubleshoot server hardware deeply: POST, BIOS, PXE, IPMI, BMC, and component-level repair.
  • You know network fundamentals (TCP/IP, Ethernet) and hardware (switches, routers, copper and fiber) well enough to diagnose physical-layer faults yourself.
  • You work comfortably in Linux for hands-on diagnosis and recovery at the console.
  • Asset records, labels, and documentation are habits for you: what's on the floor always matches what's in the system.
  • You've worked around unreleased or partner-owned hardware, or you're comfortable doing so, treating what you see and touch as confidential.
  • Bonus: GPU server fleets. Hyperscale or high-density AI infrastructure. Liquid-cooled systems. Scripting (Python, Bash). Structured cabling.
Salary & Benefits
  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.

We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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