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Online Computer Science Instructor Jobs in Worcester, MA

Wellesley College

Science Librarian

Wellesley, MA · On-site

... Psychology, Computer Science, and Chemistry, and will be a key contributor to data literacy ... faculty and fellow instructors on assignment design, integrated instruction, individual ...

Wellesley College

Science Librarian

Wellesley, MA

... Psychology, Computer Science, and Chemistry, and will be a key contributor to data literacy ... faculty and fellow instructors on assignment design, integrated instruction, individual ...

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Online Computer Science Instructor information

See Worcester, MA salary details

$13.5K

$58.6K

$100.3K

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 Worcester, MA is $58,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,400.00 and $66,900.00 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 Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $58,587 per year, or $28.2 per hour.

Adjunct Instructor in Generative AI and Large Language Models in Analytics

Waltham, MA • On-site

Brandeis University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Brandeis Universityexternal

$6.5K/mo

Part-time

Re-posted 21 days ago

Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 140 Generative AI and Large Language Models in Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.
This course will examine the design, implementation, and governance of generative AI systems particularly Large Language Models (LLMs) for analytics and decision-support applications. Students explore prompt engineering, fine-tuning, evaluation metrics, hallucination mitigation, and responsible deployment practices.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering or AI Related fields.
    • Experience applying LLMs in Enterprise or Analytics contexts, including prompt engineering, model evaluation, hallucination mitigation, and responsible deployment of LLM-Based systems for analytics and or decision support.
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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