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Online Computer Instructor Jobs in Boston, MA (NOW HIRING)

We are currently seeking a full-time Life Skills Instructor for our Life Choices program in ... Adequate skills and ability to use computer for documentation, email communication and on-line ...

Qualifications Bachelor's degree in technical writing, computer science or other related field is preferred. At least 5 years' experience designing, developing and delivering online and instructor ...

As an instructor you will provide this experience through a welcoming front desk check-in process ... Proficiency in computer applications * Ability to lead students in physical activity for a maximum ...

As an instructor you will provide this experience through a welcoming front desk check-in process ... Proficiency in computer applications * Ability to lead students in physical activity for a maximum ...

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Online Computer Instructor information

See Boston, MA salary details

$20

$33

$62

How much do online computer instructor jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for online computer instructor in Boston, MA is $33.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.58 and $42.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an online computer instructor?

To thrive as an Online Computer Instructor, you need in-depth knowledge of computer science concepts, experience in teaching or training, and typically a bachelor’s degree or higher in a related field. Familiarity with learning management systems (such as Canvas, Moodle, or Blackboard), screen sharing tools, and relevant software certifications (e.g., CompTIA, Microsoft, or Google Educator) is highly beneficial. Excellent communication, patience, and the ability to engage and motivate remote learners are key soft skills. These abilities ensure effective knowledge transfer, active student participation, and high learning outcomes in a virtual classroom environment.

What is an online computer instructor?

An Online Computer Instructor teaches computer-related subjects through virtual platforms. They develop lesson plans, deliver lectures, guide students through technical concepts, and assess progress. Instructors may specialize in areas like programming, cybersecurity, or software applications. They use various online tools for interaction, assignments, and assessments. Their goal is to provide effective remote learning experiences and help students build technical skills.

What are some common challenges faced by online computer instructors, and how can they overcome them?

Online Computer Instructors often face challenges such as keeping students engaged in a virtual setting, addressing diverse learning styles, and troubleshooting technical issues remotely. To overcome these, instructors frequently use interactive teaching methods, such as live coding sessions, breakout discussion rooms, and instant feedback tools, to encourage participation. They also stay updated on the latest educational technologies and develop strong troubleshooting skills to assist students with technical difficulties quickly. Building a supportive, responsive online presence helps foster a sense of community and aids in student retention and success.

What are the most commonly searched types of Computer Instructor jobs in Boston, MA? The most popular types of Computer Instructor jobs in Boston, MA are:
What are popular job titles related to Online Computer Instructor jobs in Boston, MA? For Online Computer Instructor jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Online Computer Instructor jobs in Boston, MA look for? The top searched job categories for Online Computer Instructor jobs in Boston, MA are:

Adjunct Instructor in Generative AI and Large Language Models in Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 16 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").