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Learning Ai Jobs (NOW HIRING)

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA · On-site

$139K - $155K/yr

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

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 ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$139K - $155K/yr

Role Summary We are looking for a Research Scientist with deep expertise in quantized deep learning ... aware AI. • Hands-on experience with quantized model deployment, ML design stacks, and code ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA · On-site

$139K - $155K/yr

Role Summary We are looking for a Research Scientist with deep expertise in quantized deep learning ... aware AI. • Hands-on experience with quantized model deployment, ML design stacks, and code ...

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Learning Ai information

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How much do learning ai jobs pay per hour?

As of Jun 10, 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 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 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.

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.

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 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Staff Machine Learning/AI Engineer

Staff Machine Learning/AI Engineer

Protingent

Hillsborough, CA • On-site

$297K/yr

Full-time

Posted 21 days ago

Job description

Job Description
Position Title: Staff Machine Learning Engineer
Position Description: Protingent Staffing has an exciting contract opportunity located in San Francisco, CA or NYC, NY.
Job Responsibilities:
  • Prototype, develop and iterate on new product areas for our client giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions
  • Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
  • Collaborate with product and other AI engineering teams to set product and technical strategy
  • Build evals, fine tune, create agent harnesses to build reliable AI powered systems
  • Keep up with developments and state-of-the-art in AI to determine what is relevant
  • Write performant, well-crafted, tested, and maintainable code across our technical stack

Job Qualifications:
  • 8+ years of experience in Machine Learning / AI engineering
  • Experience building products using LLMs, embeddings and other ML technologies
  • Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
  • Experience leading cross functional teams in an innovative fast moving environment
  • A strong foundational understanding of machine learning models and practice, including model evaluation and performance
  • Strong full-stack development skills

Job Details:
  • Job Type: Direct Hire
  • Location: San Francisco, CA or NYC, NY.
  • Salary Range: $247-297K

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
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Nikhil Jhamb

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