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Ai Root Jobs (NOW HIRING)

Prosper AI

AI Product Manager

Manhattan, NY · On-site

... root causes, and drive practical solutions • Excellent communication and interpersonal skills ... Prosper AI utilizes AI voice agents to automate tasks like scheduling and eligibility verification.

Prosper AI

AI Product Manager

New York, NY · On-site

AI Product Manager - Prosper AI * Location: Barcelona (On-site) or New York (On-site) * Type ... Outstanding analytical skills, with the ability to structure ambiguous problems, diagnose root ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

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 ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · On-site

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 ...

Lantern

Senior Lead, AI Automation

New York, NY

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 ...

Cognition

AI Support Engineer

New York, NY · On-site

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 ...

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How much do ai root jobs pay per hour?

As of Aug 6, 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.
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What cities are hiring for Ai Root jobs? Cities with the most Ai Root job openings:
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Ai Root jobs near you
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.

Root Cause Analyst

SunStrong Management, LLC

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Job description

Root Cause AnalystBRIEF DESCRIPTION OF SUNSTRONG MANAGEMENT
SunStrong Management is a leading independent asset management and servicing platform specializing in residential and commercial solar energy portfolios. SunStrong provides end-to-end services including operations and maintenance, customer billing and support, asset performance management, and investor reporting. The company partners with leading capital providers to optimize clean energy assets at scale, supporting the growth of distributed renewable energy while delivering reliable performance and exceptional customer experience
POSITION SUMMARY
SunStrong Management is seeking a Root Cause Analyst to join our Customer Experience organization. This is a new role created to strengthen our ability to identify, analyze, and resolve systemic issues that drive customer escalations, repeat contacts, and operational breakdowns across our residential solar portfolios.
Reporting to the Solutions Manager, the Root Cause Analyst is the analytical engine behind our continuous improvement work. You will mine case data, customer feedback, and operational signals to surface the underlying causes of our highest-volume and highest-severity contact drivers. This is a high-visibility role: your analysis will reach senior leadership and directly influence how we manage BPO performance, design processes, and prioritize the CX roadmap.
KEY RESPONSIBILITIES
Root Cause Analysis and Escalation Diagnostics
  • Conduct structured root cause analysis on escalated cases, recurring complaint themes, and high-severity customer contacts across multiple residential solar portfolios.
  • Identify systemic drivers behind contact volume, repeat contacts, and unresolved cases using case management data, QA findings, and customer verbatims.
  • Distinguish between agent-level performance issues and process or system failures, routing findings to the appropriate owner.
  • Build and maintain an RCA log with documented findings, owners, and resolution timelines.
Data Analysis and Reporting
  • Analyze reporting from contact center systems and vendor-provided QA information to identify trends, outliers, and emerging issue patterns.
  • Develop clear, visual, and actionable reports for the Solutions Manager and CX leadership that translate complex data into plain-language recommendations.
  • Track issue recurrence rates to validate whether corrective actions are working and flag when they are not.
  • Support the development of KPIs tied to systemic resolution and first-contact resolution improvement.
Process Improvement and Knowledge Management
  • Translate findings into documented process gaps, recommended policy changes, or recommended agent guidance updates.
  • Partner with the Solutions Manager to ensure identified failure patterns are incorporated into coaching, calibration, and job aid refreshes.
  • Contribute to a proactive issue identification program that surfaces problems before they reach regulatory complaints or executive escalations.
  • Maintain a structured issue library that enables pattern recognition across portfolios and time periods.

QUALIFICATIONS
Experience
  • 3 or more years of experience in root cause analysis, quality assurance, process improvement, or operations analyst role.
  • Prior experience in a contact center, customer experience, or customer operations environment.
  • Experience working with Salesforce CRM or similar case management systems required.
  • Background in residential solar, utility, or financial services a plus but not required.
  • An equivalent combination of experience and demonstrated analytical capability will be considered.
Analytical and Technical Skills
  • Strong proficiency in Excel or Google Sheets for data analysis, trend identification, and reporting.
  • Demonstrated ability to turn unstructured case data, call recordings, and customer feedback into clear, structured insights.
  • Experience with data visualization tools such as Power BI, Tableau, or similar.
  • Comfortable building reports for both frontline managers and senior leadership audiences without being told which format to use.
Soft Skills and Work Style
  • Intellectually curious with a genuine drive to understand why problems occur, not just what occurred.
  • Writes clearly and precisely for different audiences; this is non-negotiable in a role where findings must land with both operators and executives.
  • Manages multiple active investigations simultaneously without losing rigor on any of them.
  • Brings difficult findings forward with confidence and without waiting for someone else to notice them first.
Preferred Skills
  • Knowledgeable in MECE principles and their application to structured problem-solving.
  • Familiarity with continuous improvement methodologies.
  • Experience supporting regulatory complaint response processes (AG, BBB, CFPB, or similar).
  • Exposure to AI-assisted case triage tools or contact deflection technologies.
  • Experience working with large language models (LLMs) to increase workflow efficiency.
  • Prior experience in a QA or analysis role that was being built from the ground up rather than inherited.
     
physical requirements
  • Extended period working at a computer workstation *Include only if applicable.

Benefits
SunStrong Management offers a rich and affordable Health & Wellness Benefits package that includes:
  • PPO and HDHP Medical Plans, buy-up plans for both Dental and Vision, ancillaries such as Accident, Critical illness, Hospital indemnity, Employer sponsored Short Term and Long-Term Disability, Voluntary Life, and Legal services along with multiple add-ons.
  • Our 401(k) Package includes a Safe Harbor Match of 100% up to the first 4% and 50% on the next 2% with immediate vesting.

 

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