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Ai Support Jobs (NOW HIRING)

Cognition

AI Support Engineer

New York, NY · On-site

As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments. This role goes well beyond ...

Valsoft Corporation

AI Support Engineer

White Plains, NY · Remote

$70K - $80K/yr

AI Support Engineer This is not a traditional support role with AI tools added on. It's an agent-building and agent-ownership role that requires genuine support instincts, strong technical curiosity ...

Valsoft Corporation

AI Support Engineer

White Plains, NY · On-site

$70K - $80K/yr

AI Support Engineer This is not a traditional support role with AI tools added on. It's an agent-building and agent-ownership role that requires genuine support instincts, strong technical curiosity ...

Valsoft Corporation

AI Support Engineer

White Plains, NY · On-site

$70K - $80K/yr

AI Support Engineer This is not a traditional support role with AI tools added on. It's an agent-building and agent-ownership role that requires genuine support instincts, strong technical curiosity ...

Valsoft Corporation

AI Support Engineer

White Plains, NY · Remote

$70K - $80K/yr

AI Support Engineer This is not a traditional support role with AI tools added on. It's an agent-building and agent-ownership role that requires genuine support instincts, strong technical curiosity ...

Zocdoc

AI Support Operations Manager

New York, NY · On-site

Your Impact on our Mission As an AI Support Operations Manager, you'll play a meaningful role in evolving how we deliver customer support by using AI to create more efficient, high-quality ...

Dust

AI Support Engineer (US)

San Francisco, CA · On-site

$100K - $170K/yr

Not "how can AI help us do this faster?" but "if AI existed from day one, would we even do this the same way?" The AI Support Engineer applies this mindset to Support. You'll split your time between ...

Zocdoc

AI Support Operations Manager

New York, NY · On-site

Your Impact on our Mission As an AI Support Operations Manager, you'll play a meaningful role in evolving how we deliver customer support by using AI to create more efficient, high-quality ...

EverPass Media

AI & Knowledge Manager

Chicago, IL · Remote

This role will initially focus on using AI to support SMS/chat deflection for high-volume troubleshooting and setup contacts, especially during peak live-event periods, while also owning the ...

EverPass Media

AI & Knowledge Manager

Chicago, IL · On-site

This role will initially focus on using AI to support SMS/chat deflection for high-volume troubleshooting and setup contacts, especially during peak live-event periods, while also owning the ...

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How much do ai support jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for ai support in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

What are some common challenges AI Support professionals face on the job?

AI Support professionals often encounter issues such as diagnosing complex technical problems, keeping up with rapidly evolving AI technologies, and translating highly technical solutions into understandable guidance for non-technical users. Working in AI support may involve collaborating closely with software engineers, data scientists, and end-users to ensure systems run smoothly and efficiently. Additionally, professionals in this field must be adept at handling high volumes of support requests and managing competing priorities. These challenges underscore the importance of continuous learning and clear communication in providing exceptional support. Overcoming these hurdles offers valuable experience and can open doors to advanced roles within AI and IT support teams.

What is an AI Support job?

An AI Support job involves assisting users or businesses in utilizing artificial intelligence tools effectively. Responsibilities may include troubleshooting AI-related issues, providing guidance on AI functionalities, and optimizing AI solutions for specific needs. AI Support professionals may work with chatbots, machine learning systems, or automation tools to enhance user experience and operational efficiency. Strong problem-solving skills and technical knowledge are typically required for this role.

What are the key skills and qualifications needed to thrive in the Ai Support position, and why are they important?

To thrive as an AI Support professional, you need a solid understanding of artificial intelligence and machine learning concepts, technical troubleshooting skills, and typically a background in computer science or information technology. Familiarity with tools like ticketing systems (e.g., Zendesk or Jira), cloud platforms, and AI frameworks such as TensorFlow or PyTorch is often required. Excellent problem-solving abilities, patience, and strong communication skills help distinguish top performers in this field. These competencies are critical for effectively assisting users, resolving complex AI-related issues, and ensuring smooth operation of AI-powered systems.

More about Ai Support jobs
What cities are hiring for Ai Support jobs? Cities with the most Ai Support job openings:
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Ai Support jobs near you
Infographic showing various Ai Support job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $54,179 per year, or $26 per hour.
AI Support Engineer

AI Support Engineer

Cognition

New York, NY • On-site

Full-time

Posted 23 days ago

Job description

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments.
This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously.
We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should be comfortable context-switching across problem domains, communicating clearly with customers, and partnering closely with engineering when deeper product investigation is required.
This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day.
Responsibilities
  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.
  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
  • Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
  • Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
  • Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
  • Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.
Qualifications
  • 4+ years of experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
  • Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
  • Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
  • Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
  • Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
  • Passion for AI, developer tools, and the future of software engineering.
Nice to Have
  • Experience building internal tools, scripts, or automations to accelerate debugging, support, or QA workflows.
  • Familiarity with LLMs, AI-assisted development tools, IDEs, or developer productivity platforms.
  • Experience in high-volume technical support or customer engineering environments.
  • Experience debugging issues that span multiple layers of the stack, such as application logic, infrastructure, authentication, third-party APIs, networking, or deployment configuration.
  • Prior experience working directly with engineering teams to escalate, diagnose, and resolve product issues.
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

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