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Ai Root Jobs (NOW HIRING)

Investigate and trace user-reported issues to determine root cause * Review logs, dashboards, and ... Provide feedback on AI outputs and recommend improvements to responses, workflows, and usability

Investigate and trace user-reported issues to determine root cause * Review logs, dashboards, and ... Provide feedback on AI outputs and recommend improvements to responses, workflows, and usability

As an AI Researcher, you will train intelligent AI agents for root cause analysis in high-pressure environments, leading research in areas like LLM fine-tuning and deep reinforcement learning.

Tackle some of the hardest problems in silicon security, from hardware root of trust through confidential computing, at a company building frontier AI infrastructure. Compensation & Benefits The base ...

Head of Customer Support Operations

Austin, TX · On-site

$132K/yr

AI Sensi.AI is transforming the world of home care through agentic AI, and we're just getting ... Own the support operating cadence, including performance reviews, escalation reviews, root-cause ...

Head of Customer Support Operations

Austin, TX · On-site +1

$132K/yr

AI Sensi.AI is transforming the world of home care through agentic AI, and we're just getting ... Own the support operating cadence, including performance reviews, escalation reviews, root-cause ...

... root cause analysis Automate regression and validation pipelines across datasets Collaborate with Applied Scientists to validate LLM and GenAI outputs Work within AWS environment using services such ...

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Ai Root information

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$29

$49

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How much do ai root jobs pay per hour?

As of Aug 8, 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 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 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.

What jobs will be available in AI?

Jobs available in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, with some roles demanding advanced degrees or certifications. The AI industry offers opportunities across sectors including technology, healthcare, finance, and automotive.

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 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.
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 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $102,302 per year, or $49.2 per hour.

Business Analyst, Enterprise AI

Addison Group

Houston, TX • On-site

$65 - $85/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

Pay: $65-$85 an hour
Fully Onsite M-F, Houston, TX
Benefits: This position is eligible for medical, dental, vision, and 401(k).
Job Summary:
We are looking for a Business Analyst with strong analytical and problem-solving skills to trace issues, investigate root causes, and provide data-driven insights. This role partners closely with business stakeholders to ensure decisions are fact-based, customer needs are clearly understood, and business value is prioritized.
This individual will also groom and manage the backlog to ensure requirements are well-defined and ready for development within an Enterprise AI team. The ideal candidate comes from a functional background, brings strong communication and collaboration skills, and is comfortable working in a fast-paced, high-demand environment. A strong curiosity for AI is important, including exposure to AI tools or initiatives and the ability to think conceptually about how AI impacts workflows and user experience (e.g., simple UI or input-level improvements that enhance outcomes).
Responsibilities:
Backlog & Requirements Management
  • Partner with the Product Manager and Business Relationship Manager to manage a high volume of incoming requests
  • Refine, prioritize, and groom the backlog to ensure items are actionable and aligned to business value
  • Translate ambiguous business needs into clear, structured requirements with defined acceptance criteria
  • Ensure all work is properly prepared and "ready for development"

QA & User Acceptance Testing (UAT)
  • Support and coordinate User Acceptance Testing (UAT) with business stakeholders
  • Validate that delivered solutions meet business requirements and expected outcomes
  • Identify gaps, defects, or misalignments between requirements and final builds
  • Work closely with developers to document, track, and resolve issues
  • Ensure business sign-off prior to production release

Issue Investigation & Data Analysis
  • Investigate and trace user-reported issues to determine root cause
  • Review logs, dashboards, and reports to validate and diagnose problems
  • Conduct basic SQL queries to extract and validate data when needed
  • Use existing tools and insights platforms to analyze system behavior and performance

AI & Product Support
  • Collaborate with developers to support AI-driven solutions (including GPT-based tools and platforms)
  • Help ensure data inputs are structured, accurate, and aligned to use cases
  • Provide feedback on AI outputs and recommend improvements to responses, workflows, and usability
  • Contribute ideas for simple UI/UX enhancements that improve user experience and adoption

Stakeholder Engagement
  • Act as a liaison between business units and the Enterprise AI team
  • Work directly with stakeholders to clarify needs, set expectations, and align priorities
  • Communicate findings, recommendations, and testing results clearly and effectively

Qualifications & Skills
Core Experience
  • Experience as a Business Analyst or in a functional, stakeholder-facing role
  • Strong experience managing requirements and working with a high-volume backlog
  • Hands-on experience with QA and/or User Acceptance Testing (UAT) processes

Technical & Analytical Skills
  • Basic SQL knowledge for simple data extraction and validation
  • Experience working with dashboards, reports, or structured data outputs
  • Strong analytical and root-cause problem-solving skills

AI & Technical Curiosity
  • Interest in AI-driven solutions and how they apply to business workflows
  • Exposure to AI tools, platforms, or initiatives (conceptual or hands-on)
  • Comfortable experimenting with AI tools and understanding how small changes (inputs, prompts, or UI adjustments) impact outcomes

Soft Skills (Critical for Success)
  • Strong communication skills and ability to engage both technical and non-technical stakeholders
  • Highly collaborative with a positive, adaptable personality
  • Comfortable working in fast-paced environments with shifting priorities
  • Ability to bring structure to ambiguity and push clarity in requirements

Nice to Have
  • Experience in Agile environments or product teams
  • Exposure to Azure or similar cloud platforms
  • Experience contributing to UI/UX feedback or product improvement initiatives
  • Familiarity with AI experimentation or "hands-on" exploration of tools
  • Exposure to vibe coding

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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