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Ai Frontend Developer Jobs in Elberta, AL (NOW HIRING)

Ai Frontend Developer information

See Elberta, AL salary details

$36.4K

$94.7K

$133.3K

How much do ai frontend developer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ai frontend developer in Elberta, AL is $94,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $103,700.00 per year, depending on experience, location, and employer.

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or innovative startups offering competitive compensation packages. Such salaries reflect the high demand for AI talent and the complexity of the work involved.

Will AI take front-end developer jobs?

AI front-end development tools can automate repetitive tasks and assist in coding, but they are unlikely to fully replace front-end developers who design user interfaces, ensure usability, and handle complex problem-solving. Developers will need to adapt by learning new skills such as working with AI tools and understanding user experience design. Human oversight remains essential for creating effective and accessible web applications.

How much do AI coders get paid?

AI frontend developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Salaries tend to be higher in tech hubs and for those with expertise in machine learning frameworks and programming languages like Python and JavaScript.

Which 3 jobs will survive AI?

For an AI Frontend Developer, roles that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include positions like UX/UI Designer, AI Specialist, and Software Architect, which involve designing user experiences, developing AI models, and overseeing system integration. Continuous learning and expertise in tools like JavaScript, React, and machine learning frameworks help maintain job relevance.
What cities near Elberta, AL are hiring for Ai Frontend Developer jobs? Cities near Elberta, AL with the most Ai Frontend Developer job openings:
Infographic showing various Ai Frontend Developer job openings in Elberta, AL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,652 per year, or $45.5 per hour.

Teleoperation Software Engineering Internship

Persona AI

Pensacola, FL โ€ข On-site

Internship

Posted 23 days ago


Job description

Teleoperation Software Engineering Internship
Location: Houston, Texas or Pensacola, Florida
Duration: 12-16 weeks
The Mission
At Persona AI, the Teleoperation Team is the bridge between human intuition and artificial intelligence. We aren't just building a remote control; we are building a high-fidelity, low-latency "nervous system" for our humanoid fleet.
As a Teleoperation Intern, you will work across our entire hardware and software stack, integrating firmware, backend infrastructure, retargeting, and XR interfaces. You will solve the "unreliable transport" problem, ensuring our robots move fluidly even when the network doesn't want to cooperate. If you're obsessed with sub-millisecond latency, real-time rendering, and the future of robotics, we want you on the front lines.
What You'll Do
  • Architect Immersive Interfaces: Help develop our primary XR application used by operators to control humanoid robots.
  • Optimize Data Pipelines: Build and tune low-latency streaming protocols (Rust) that function over real-world WiFi, Wired and bluetooth networks.
  • Bridge the Stack: Develop software that interfaces directly with hardware SDKs for robot sensing, motion capture, and control.
  • Innovate in XR: Build frontend systems for AR devices (Android/Embedded Linux) using OpenXR and frameworks like StereoKit or Unity.
  • Scale and Monitor: Use Python to build test harnesses and automation scripts, ensuring our fleet remains reliable as it grows.

What We're Looking For
  • Education: Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, or a related technical field.
  • Coding Prowess: Strong fundamentals in Rust and Python. Familiarity with C++ is a plus.
  • 3D & Networking Fluency: A solid grasp of 3D geometry (kinematics) and networking basics (TCP/UDP, bandwidth optimization).
  • Systems Thinker: Experience working in Linux environments and a passion for navigating complex open-source codebases.
  • The "Builder" Mindset: You've built things-whether it's a game in XR, a custom drone, or a contribution to an open-source library.

Bonus Points
  • Experience with Unreal Engine (Blueprints/C++) or OpenXR.
  • Knowledge of custom shader writing or GPU profiling.
  • Familiarity with modern build systems like Nix or Bazel.
  • A history of contributing to open-source projects.
Program Details
We review applications on a rolling basis, so applying early is strongly recommended. Our internships are competitive, and early applicants often have the best chance to be matched with available projects.
Now reviewing applications for:
  • Fall 2026 (August-December)
  • Spring 2027 (January-May)