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Ai Root Jobs (NOW HIRING)

Testing, QA & Optimization - Ability to perform unit testing, root cause analysis, quality assurance reviews, and prompt optimization to improve conversational accuracy, usability, and overall AI ...

Monitor project quality, identify operational issues, investigate root causes, and communicate ... AI/Data Experience: Hands-on experience working on AI training-data, human-data, data operations ...

$191 - $253/hr

Support launch readiness, production issue response, root cause analysis, and post-incident follow ... Experience working with frontier AI tooling, AI coding assistants, or agentic systems, including ...

Senior Lead, AI Automation

New York, NY · On-site

$150K - $190K/yr

Design and build AI solutions that resolve the root cause, rather than bolting automation onto a broken process * Own solutions end to end: build, deploy into hosted environments, roll out, train ...

NY · On-site

$120 - $180/hr

Manage incident response, root cause analysis, and disaster recovery / high availability planning ... Knowledge of AI monitoring (drift, bias, inference metrics) #J-18808-Ljbffr

Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior ... Passion for AI, developer tools, and the future of software engineering. Nice to Have * Experience ...

Senior Data Analyst, Partner Analytics

$88K - $111K/yr

Root was founded on the belief that car insurance is broken, and we set out to change it. We're ... Experience with statistical analysis, experimentation design, and AI-enabled tools preferred

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs ... AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.

AI Intern

Sunnyvale, CA · On-site

$55 - $83/hr

Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs ... AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.

Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs ... AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.

$40 - $60/hr

Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs ... AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.

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Ai Root information

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How much do ai root jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai root in the United States is $49.18, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $55.77 per hour, depending on experience, location, and employer.

What is an AI Root?

AI Root jobs typically refer to roles involved in developing, maintaining, or overseeing the foundational systems and architectures that support artificial intelligence (AI) applications. Professionals in these positions may work on building core AI models, optimizing machine learning infrastructure, or ensuring the scalability and reliability of AI platforms. These jobs are crucial for enabling organizations to deploy AI solutions effectively and securely, and may include titles such as AI Infrastructure Engineer, Machine Learning Platform Engineer, or AI Systems Architect. Candidates often need experience in software engineering, data science, and cloud computing.

What are common challenges faced by AI research scientists when working on innovative machine learning projects?

AI Research Scientists often encounter challenges such as balancing cutting-edge research with practical implementation, ensuring data quality and availability, and keeping up with the rapidly evolving AI landscape. Collaboration with cross-functional teams—such as data engineers, product managers, and software developers—is crucial to translate research breakthroughs into real-world applications. Additionally, effectively communicating complex concepts to non-technical stakeholders and managing project timelines can be demanding but rewarding aspects of the role.

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

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency in programming languages like Python, familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Critical thinking, creativity, and effective communication are essential soft skills for collaborating with teams and developing innovative solutions. These competencies enable researchers to design, implement, and communicate cutting-edge AI models that address complex real-world problems.

What is the difference between Ai Root vs Data Analyst?

AspectAi RootData Analyst
Required CredentialsTypically requires AI/machine learning certifications, programming skills, and a background in computer scienceOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft or SAS are common
Work EnvironmentPrimarily in tech companies, AI research labs, or software development teamsIn various industries including finance, healthcare, marketing, often in office settings
Employer & Industry UsageUsed in AI development, machine learning projects, and automation tasksUsed for data interpretation, reporting, and supporting business decisions

While both roles involve working with data and technology, Ai Root focuses on developing AI systems and algorithms, requiring advanced programming and AI expertise. Data Analysts primarily interpret data to inform business strategies, often with a focus on statistical analysis. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

More about Ai Root jobs

What cities are hiring for Ai Root jobs?

Cities with the most Ai Root job openings:

What states have the most Ai Root jobs?

States with the most job openings for Ai Root jobs include:

Infographic showing various Ai Root job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $102,302 per year, or $49.2 per hour.

AI Prompt Engineer

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Design, develop, and optimize conversational prompts, workflows, and response strategies for AI-powered applications and enterprise systems

  • Gather and analyze business and technical requirements to build scalable AI prompt solutions aligned to organizational objectives

  • Perform troubleshooting, debugging, unit testing, and root cause analysis across modern and legacy systems


Job description

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Prompt Engineer opportunity with a premier enterprise technology client expected to open within the next month. This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across customer-facing and internal platforms. The ideal candidate will bring strong expertise in prompt engineering, software development, testing, debugging, and AI workflow optimization while helping improve AI response quality, scalability, and user experience across complex enterprise environments. This is an exciting opportunity to position yourself early for a high-impact role supporting next-generation AI solutions within a world-class technology organization.
Top Required Skills (Must Haves):
  1. Prompt Engineering & Conversational AI - Experience designing, optimizing, and testing prompts, conversational workflows, and AI response strategies for enterprise AI applications, chatbots, or virtual assistants using LLM and generative AI technologies.
  2. Software Engineering & Troubleshooting - Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems, automation workflows, and production AI implementations.
  3. AI System Design & Implementation - Experience translating business and technical requirements into scalable AI-driven solutions, including prompt orchestration, workflow automation, deployment support, and system validation.
  4. Testing, QA & Optimization - Ability to perform unit testing, root cause analysis, quality assurance reviews, and prompt optimization to improve conversational accuracy, usability, and overall AI performance.

Opportunity Overview:
This opportunity offers the chance to work at the forefront of enterprise AI innovation, helping shape how users interact with intelligent systems across customer-facing and internal platforms. The role combines prompt engineering, conversational design, software engineering, and AI implementation expertise to support scalable generative AI initiatives in a fast-paced enterprise environment. Candidates will collaborate closely with engineering, product, UX, and business stakeholders while contributing to highly visible AI solutions that improve operational efficiency and user experience.
How you will make an impact:
• Design, develop, and optimize conversational prompts, workflows, and response strategies for AI-powered applications and enterprise systems
• Fine-tune AI-driven conversational interfaces and support sophisticated software implementation projects
• Gather and analyze business and technical requirements to build scalable AI prompt solutions aligned to organizational objectives
• Document conversational flows, prompt logic, implementation requirements, and technical specifications
• Recommend prompt optimization strategies that improve AI response quality, usability, and conversational accuracy
• Configure and customize AI-powered software solutions based on customer and stakeholder requirements
• Develop testing procedures, validation plans, and deployment support processes for conversational AI systems
• Build and maintain prompt orchestration workflows, automation capabilities, and response generation functionality
• Enhance existing prompt libraries and AI workflows to support evolving business needs and enterprise standards
• Perform troubleshooting, debugging, unit testing, and root cause analysis across modern and legacy systems
• Support migration activities, user acceptance testing (UAT), and production deployments
• Conduct quality assurance reviews to validate AI interaction quality and system performance
• Resolve defects and production issues identified during implementation and post-deployment validation activities
• Partner cross-functionally with engineering, product, UX, and business stakeholders to continuously improve AI experiences
• Maintain technical documentation, implementation guides, and prompt governance standards
The expertise you bring:
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related technical field
• 5-7 years of experience in software engineering, AI engineering, prompt engineering, or related technical roles
• Strong understanding of computer science fundamentals including data structures, algorithms, software architecture, and system design
• Experience designing and supporting enterprise-scale software systems and AI-driven applications
• Strong troubleshooting, debugging, testing, and root cause analysis experience across production systems
• Experience implementing conversational AI, prompt engineering, or generative AI solutions
• Strong programming skills with the ability to diagnose and resolve complex technical issues
• Experience gathering requirements and translating business needs into scalable technical solutions
• Strong written and verbal communication skills with experience collaborating across technical and non-technical teams
• Ability to independently manage multiple priorities and deliver high-quality technical solutions
• Experience working with large language models (LLMs), conversational AI platforms, or generative AI technologies preferred
• Familiarity with prompt engineering best practices, conversational design principles, and AI response optimization preferred
• Experience supporting enterprise AI deployments, QA processes, release management, and Agile/Scrum development environments preferred
• Strong analytical thinking, process improvement, and problem-solving capabilities
What makes a candidate highly successful in this role:
Successful candidates combine strong prompt engineering expertise with deep software engineering fundamentals and a practical understanding of enterprise AI implementation. They are highly effective at improving conversational AI quality through testing, debugging, optimization, and cross-functional collaboration while maintaining a strong focus on scalability, usability, and business impact. Candidates who stand out typically demonstrate experience delivering production-ready AI solutions, balancing technical depth with strong communication skills, and proactively identifying opportunities to improve AI-driven user experiences and operational workflows.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
• Health insurance (medical, dental, vision, and life)
• Employer-matched 401K plan
• Paid time off
• Paid holidays
Estimated Start Date: Immediately
Location: Fully Remote (Preferred PST or EST)
Job #: 2525
Job Type and Estimated Duration: W2 contract opportunity with potential for extension up to 18 months subject to performance, budget and client discretion.
Rate: $66 - $71/hr.
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
• All applicants must be authorized to work in the U.S. without the need for sponsorship.
• Team Red Dog is an E-Verify employer.
• Employment is contingent upon the successful completion of a reference and background check.
• Please no solicitations from C2C or recruiting firms.