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Machine Learning Instructor Jobs (NOW HIRING)

... e.g. machine learning, LLMs, or related technologies) JOB RESPONSIBILITIES: 80% - Teach ... Instructor For questions about this position or the salary range, please contact Dr. Ron Niedrich ...

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Machine Learning Instructor information

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$33.5K

$59.6K

$119K

How much do machine learning instructor jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning instructor in the United States is $59,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Instructor job?

A Machine Learning Instructor is a professional who teaches students or professionals the fundamentals and advanced concepts of machine learning. They design course materials, deliver lectures, create exercises, and guide learners in applying ML techniques to real-world problems. Instructors may work in universities, coding bootcamps, or corporate training programs. Strong expertise in ML algorithms, programming (Python, TensorFlow, PyTorch), and data science is typically required.

What are the key skills and qualifications needed to thrive in the Machine Learning Instructor position, and why are they important?

To thrive as a Machine Learning Instructor, you need a strong background in mathematics, statistics, programming (often in Python), and practical experience with ML frameworks, typically supported by an advanced degree in a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and relevant teaching certifications or online course development platforms is highly valued. Outstanding communication, patience, and the ability to break down complex concepts make someone stand out in this position. These skills are vital for effectively teaching diverse learners and keeping up with the rapidly evolving field of machine learning.

What are the typical daily responsibilities of a Machine Learning Instructor?

Machine Learning Instructors usually spend their days preparing and delivering lectures or workshops, creating course materials, and guiding students through hands-on coding exercises and projects. They are also responsible for assessing student progress, providing feedback, and staying updated on the latest machine learning trends to incorporate into their teaching. Collaboration with other instructors and curriculum developers is common to ensure content quality and cohesion. This role often involves mentoring students, answering questions, and helping troubleshoot technical issues, contributing to a dynamic and engaging learning environment.

More about Machine Learning Instructor jobs
What cities are hiring for Machine Learning Instructor jobs? Cities with the most Machine Learning Instructor job openings:
What states have the most Machine Learning Instructor jobs? States with the most job openings for Machine Learning Instructor jobs include:
Infographic showing various Machine Learning Instructor job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 31% Part Time, 8% Temporary, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,560 per year, or $28.6 per hour.
AI\/ML Instructor\/Developer with Security Clearance

AI\/ML Instructor\/Developer with Security Clearance

IntelliGenesis LLC

Annapolis Junction, MD

$170K - $210K/yr

Other

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Please note that this position is contingent upon future funding and is not available for immediate hire. We welcome interest from prospective candidates and encourage applications from those who have a flexible timeline. Job Description: The AI/ML Instructor/Developer provides expert instruction and develops comprehensive curricula in artificial intelligence and machine learning to support workforce education and mission readiness.

This role combines technical subject matter expertise with instructional delivery and curriculum development responsibilities, ensuring training content is accurate, current, pedagogically sound, and aligned with Department of War (DoW) training standards and operational requirements. Responsibilities: Deliver instructor-led, virtual, and blended training in artificial intelligence and machine learning topics to technical and non-technical audiences. Design, develop, and maintain AI/ML curricula, including course outlines, lesson plans, learning objectives, assessments, labs, and instructional materials.

Apply instructional systems design (ISD) principles (e.g., ADDIE) to ensure training effectiveness and learner engagement. Translate complex AI/ML concepts (e.g., data preparation, supervised and unsupervised learning, neural networks, model evaluation, MLOps, ethics) into clear, mission-relevant instruction. * Develop and facilitate hands-on exercises, demonstrations, and labs using approved AI/ML tools, platforms, and datasets.

Collaborate with Instructional Systems Designers (ISDs), Subject Matter Experts (SMEs), and stakeholders to align curriculum with performance objectives and workforce competencies. Evaluate learner performance and training effectiveness; revise curriculum and instructional approaches based on feedback and outcomes. * Ensure instructional materials comply with DoW policies, accessibility standards (e.g., Section 508), and information security requirements.

Stay current with advances in AI/ML technologies and best practices and incorporate relevant updates into training content. Support instructor preparation, pilot deliveries, and sustainment of AI/ML training programs. Required Skills: * Must be a U.S.

Citizen Active TS/SCI clearance with polygraph Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Education, or a related field. 6+ years of combined experience in AI/ML technical work and technical instruction or curriculum development. Demonstrated experience teaching or developing curriculum in AI/ML or related technical domains.

Proficiency with common AI/ML tools, frameworks, or platforms (e.g., Python-based ML libraries, cloud or on-prem environments). Preferred Skills: Master's degree in AI, Machine Learning, Computer Science, Education, or a related discipline. -Experience supporting DoW or federal training programs.

Formal instructor certification or teaching experience in adult or technical education. Experience developing hands-on labs, simulations, or project-based learning. * Knowledge of responsible AI, ethics, and governance principles.

Compensation Range: $170,000 - $210,000 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package.

These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice.

Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization.

In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.