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Machine Learning Teaching Remote Jobs in Lancaster, PA

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

This role can be remote in some US states (See below for remote work requirements) or based in one ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

All JobsMachine Learning Teaching JobsMachine Learning Teaching Remote JobsMachine Learning Teaching Remote Jobs in Lancaster, PA

Machine Learning Teaching Remote information

See Lancaster, PA salary details

$22.4K

$52K

$96.7K

How much do machine learning teaching remote jobs pay per year?

As of Jul 30, 2026, the average yearly pay for machine learning teaching remote in Lancaster, PA is $51,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Teaching Remote, and why are they important?

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What is a Machine Learning Teaching Remote job?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.
What are popular job titles related to Machine Learning Teaching Remote jobs in Lancaster, PA? For Machine Learning Teaching Remote jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Remote jobs in Lancaster, PA look for? The top searched job categories for Machine Learning Teaching Remote jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Machine Learning Teaching Remote jobs? Cities near Lancaster, PA with the most Machine Learning Teaching Remote job openings:
Machine Learning Teaching Remote jobs near you

Part Time - Student - Summer Science Research Intern

Penn State University

Reading, PA • On-site, Remote

Part-time

Re-posted 24 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 613 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
Penn State Berks is currently seeking a student to fill the part time summer intern opening to work in the research group of Dr. Alexey Prokudin.
Job Duties
  • One of the cornerstones of the proposed project is to engage in the projects related to the studies of the three-dimensional nucleon structure.
  • The student will be trained under supervision of Dr. Prokudin to create and maintain the database.
  • The database will be incorporated in the framework of the data analysis.
  • The analysis of the data will be performed using the techniques of Machine Learning and AI.

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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