ZipRecruiter

Log In

1

Learning Ai Jobs (NOW HIRING)

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$139K - $155K/yr

Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ... aware AI. Hands-on experience with quantized model deployment, ML design stacks, and code ...

next page

Showing results 1-20

All JobsLearning Ai Jobs

Learning Ai information

See salary details

$26

$40

$69

How much do learning ai jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for learning ai in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What is a Learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What jobs can I get if I learn AI?

Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

Can I get paid to learn AI?

Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.

How do Learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

How can I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.

What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.
More about Learning Ai jobs
What cities are hiring for Learning Ai jobs? Cities with the most Learning Ai job openings:
What states have the most Learning Ai jobs? States with the most job openings for Learning Ai jobs include:
What job categories do people searching Learning Ai jobs look for? The top searched job categories for Learning Ai jobs are:
Learning Ai jobs near you
Infographic showing various Learning Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
AI Learning Sales Team Leader, New York

AI Learning Sales Team Leader, New York

Fitch Solutions

Manhattan, NY • Hybrid

Other

Retirement

Posted 27 days ago

Job description

Fitch Learning is the leading provider of financial services education to the global financial markets. As we rapidly grow, Fitch Learning is seeking an AI Learning Sales Team Leader to lead and scale its AI-focused sales capability within the financial services education industry. This newly created leadership role will drive enterprise revenue growth through AI-enabled learning and SaaS-based education solutions, developed by a highly dynamic AI learning business in which Fitch Learning is a strategic shareholder. 

This role is ideal for a senior sales leader with experience in enterprise SaaS, AI-driven solutions, and consultative selling, particularly within the context of workforce learning, professional education, or digital transformation in financial services. 

About the Role: 

Sitting within Fitch Learning, this position combines hands-on sales leadership, deep AI and SaaS fluency, and team management. The successful candidate will play a key role in shaping and executing Fitch Learning's AI-led learning proposition, built specifically for clients operating in complex financial services environments.  

The role includes responsibility for managing and developing a team of up to four AI Learning Sales Specialists, while also directly leading strategic, high-value client opportunities. 

How You'll Make an Impact: 

AI Learning Sales Leadership 

  • Own and drive AI learning sales performance across enterprise clients in the financial services education market 

  • Lead complex, high-value sales opportunities for AI-enabled learning platforms and solutions 

  • Represent Fitch Learning's AI learning proposition with senior clients and internal stakeholders 

Strategic Client Ownership 

  • Manage a personal portfolio of strategic AI learning and SaaS opportunities 

  • Act as senior sales lead on priority enterprise deals, engaging at executive level 

Team Leadership 

  • Lead, coach, and develop a team of up to four AI Learning Sales Specialists 

  • Build strong SaaS-style sales discipline, including value-based and consultative selling approaches 

Senior Stakeholder Partnership 

  • Build trusted relationships with Senior Business Heads, Product, Marketing, and Delivery teamsPartner with Relationship Managers, who own the client relationship, to shape and win AI-enabled learning deals 

  • Lead client conversations on AI governance, data privacy, and learning outcomes, positioning the credibility of Fitch-verified content. 

  • Sales Discipline 

  • Maintain rigorous forecasting, pipeline management, and Salesforce hygiene 

  • Drive consistent performance against revenue and conversion targets 

You May Be a Good Fit If: 

  • Proven senior B2B sales experience in SaaS, digital, or technology-led solutions, with a personal track record of winning net-new enterprise business 

  • Strong track record selling enterprise SaaS or platform-based offerings 

  • Experience leading and developing high-performing sales teams while personally carrying and closing strategic deals Excellent consultative, value-based selling skills 

  • Strong communication, leadership, and stakeholder management capability 

What Would Make You Stand Out: 

  • Experience with AI-enabled, data-driven, or intelligent SaaS platforms 

  • Exposure to enterprise learning, edtech, professional education, workforce transformation, or L&D solutions 

  • Understanding of the financial services education sector would be a strong advantage 

Success Measures 

  • AI learning sales revenue growth and pipeline performance 

  • Strategic deal conversion and forecast accuracy 

  • Team productivity, capability development, and sales execution quality 

Why Choose Fitch: 

  • Hybrid Work Environment: 3 days per week in the office; 2 days remote 

  • A Culture of Learning & Mobility: Dedicated training, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity 

  • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals 

  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing 

  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively 

  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe 

  • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community 

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.Should you be successful in the recruitment process at Fitch you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.  

Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. 

For New York: Expected base pay rates for the role will be between $190,000 to $200,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. 

#LI-MH1 #LI-HYBRID

Apply