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Online Computer Science Instructor Jobs in Layton, UT

Vant4ge

Technical Writer

Salt Lake City, UT · On-site

We provide an online community of care that connects, coordinates and tracks of all those who are ... University degree in Computer Science, Engineering or equivalent preferred We highly value:

MasterControl

Technical Product Manager

Salt Lake City, UT · On-site +1

$161K - $186K/yr

Bachelor's degree in Engineering, Computer Science, or a related field. A master's degree or MBA is ... this online application process and need an alternative method for applying, you may contact ...

MasterControl

Technical Product Manager

Salt Lake City, UT · On-site +1

$161K - $186K/yr

Bachelor's degree in Engineering, Computer Science, or a related field. A master's degree or MBA is ... this online application process and need an alternative method for applying, you may contact ...

Elite TechSources

Senior Software Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

Requirements Education and Experience Bachelor Degree in Computer Science, Information Science, or ... Batch, on-line, distributive, and manual systems. * Programming processes and languages. * Data ...

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All JobsOnline Computer Science Instructor JobsOnline Computer Science Instructor Jobs in Layton, UT

Online Computer Science Instructor information

See Layton, UT salary details

$12.3K

$53.3K

$91.3K

How much do online computer science instructor jobs pay per year?

As of Sep 11, 2026, the average yearly pay for online computer science instructor in Layton, UT is $53,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,600.00 and $60,900.00 per year, depending on experience, location, and employer.

What does an online computer science instructor do?

As an online computer science instructor, your job is to teach remote students how to code software from a remote location. In this role, you may explain different programming techniques, manage a live virtual classroom, and adjust lessons to account for the unique learning needs of each student. This job comes in two major forms. The first type holds classes for students who are together in a school classroom somewhere, while the second type teaches students who study from home or another remote location. Online computer science instructors must stay current with recent developments in programming and find current examples to help students understand programming better.

What does an online computer science instructor do?

An Online Computer Science Instructor teaches computer science concepts and skills to students through digital platforms. They develop and deliver course materials, lead virtual lectures or discussions, assign and grade projects, and provide feedback to help students learn programming, algorithms, data structures, and related topics. They may also offer support and guidance to students individually or in group settings. The role requires both technical expertise and the ability to communicate complex ideas clearly in an online environment.

What are the key skills and qualifications needed to thrive as an online computer science instructor, and why are they important?

To thrive as an Online Computer Science Instructor, you need a solid understanding of computer science fundamentals, programming proficiency, and often a degree in computer science or a related field. Familiarity with online learning platforms (such as Canvas, Moodle, or Blackboard), coding environments, and certifications like CompTIA or AWS can be valuable. Excellent communication, patience, and the ability to motivate and engage students remotely are essential soft skills. These competencies ensure effective knowledge transfer, student engagement, and success in a virtual learning environment.

What are some common challenges online computer science instructors face when teaching remote students, and how can they be addressed?

Online Computer Science Instructors often encounter challenges such as maintaining student engagement, addressing diverse learning paces, and ensuring effective communication in a virtual setting. To overcome these, instructors can incorporate interactive tools like coding platforms, foster collaborative projects, and schedule regular virtual office hours for personalized support. Utilizing a mix of synchronous and asynchronous content also helps cater to different learning needs and keeps students motivated throughout the course.
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Online Computer Science Instructor jobs near you
Infographic showing various Online Computer Science Instructor job openings in Layton, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $53,346 per year, or $25.6 per hour.

Internship - Applied Research Scientist

Salt Lake City, UT • On-site

Smule
11 - 50 employees
Learn more about Smuleexternal

Other

Re-posted 11 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Ro le:

We are seeking a Research Scientist for Smule's Applied Research team who thrives at the intersection of cutting‑edge ML research and real‑world product impact. You will take ideas from the research frontier, or originate your own, and develop them into practical solutions that improve Smule's products, pipelines, and user experience for a community of millions. The ideal candidate combines research depth with strong engineering instincts, a bias toward measurable outcomes, and genuine curiosity about how people make music.

We strongly encourage candidates with non‑traditional ML backgrounds to apply. If your path into applied machine learning came through audio engineering, music production, signal processing, data science, or another field, we want to hear from you.

What You'll Be Doing:
  • Develop and adapt state-of-the-art ML techniques to solve concrete product challenges in areas such as audio processing, content understanding, recommendation, and generative music, delivering measurable improvements in quality, latency, or user experience.
  • Design and run rigorous offline and online experiments (A/B tests, ablation studies) to validate model improvements before production deployment.
  • Collaborate closely with product managers, designers, and engineers to translate user needs into well‑scoped research problems.
  • Build prototype models and proof‑of‑concept systems that demonstrate feasibility and inform production architecture decisions.
  • Publish applied research findings at relevant venues and contribute to internal knowledge‑sharing through tech talks and documentation.
  • Monitor deployed models for drift, fairness, and performance, implementing continuous improvement loops.
What We're Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Demonstrated ability to take research ideas from paper to production, with experience shipping ML-powered features or systems.
  • Strong skills in experiment design, statistical analysis, and iterative model development.
  • Proficiency in Python, PyTorch or TensorFlow, and standard ML infrastructure (data pipelines, model serving, monitoring).
  • Effective communicator who can translate between research concepts and product requirements.
  • Track record of identifying high‑impact problems and delivering solutions with measurable outcomes.
Bonus Points For:
  • Experience with audio, speech, music, or multimedia ML applications.
  • Familiarity with on-device or edge deployment constraints (model compression, quantization, latency optimization).
  • Published work at conferences or journals, such as KDD, RecSys, EMNLP, Interspeech, ISMIR, or similar.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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