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Computer Science Teaching Jobs in Rhode Island (NOW HIRING)

Varsity Tutors

Python Tutor

Providence, RI · Remote

$18 - $40/hr

... and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides ...

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Pre-Calculus Tutor

Providence, RI · Remote

$18 - $40/hr

... computer science applications. * Curriculum Awareness & Adaptive Instruction: Familiar with ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

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Video Game Design Tutor

Providence, RI · Remote

$18 - $40/hr

Emphasizes the iterative design process and connects game design to computer science, visual arts ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

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Robotics Tutor

Providence, RI · Remote

$18 - $40/hr

... computer science, and artificial intelligence applications. * Curriculum Awareness & Adaptive ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

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Software Tutor

Providence, RI · Remote

$18 - $40/hr

... computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at teaching software design, implementation, and testing across the development lifecycle. Guides students through ...

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Coding Tutor

Providence, RI · Remote

$18 - $40/hr

... for computer science courses, coding bootcamps, or technology career pathways. * Conceptual Teaching & Problem-Solving: Skilled at teaching logical thinking, code construction, and debugging ...

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C++ Tutor

Providence, RI · Remote

$18 - $40/hr

... computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down pointer arithmetic, class hierarchy design, and template metaprogramming concepts. Guides students ...

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All JobsComputer Science Teaching JobsComputer Science Teaching Jobs in Rhode Island

Computer Science Teaching information

See Rhode Island salary details

$35.7K

$64.1K

$119K

How much do computer science teaching jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science teaching in Rhode Island is $64,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $68,100.00 per year, depending on experience, location, and employer.

What is computer science teaching?

Computer science teaching involves instructing students on topics related to computer science, such as programming, algorithms, data structures, computer systems, and computational thinking. Educators in this field work in various settings, including schools, colleges, universities, and online platforms. Their goal is to help students develop problem-solving skills, understand theoretical concepts, and gain practical experience with technology. Computer science teachers may also design curricula, assess student progress, and stay updated with advancements in the rapidly evolving field.

What are some common challenges computer science teachers face when introducing programming concepts to students?

One common challenge computer science teachers encounter is addressing the wide range of prior knowledge and experience among students, as some may be completely new to programming while others have advanced skills. Teachers must also find engaging ways to explain abstract concepts, making them accessible and relevant to learners with different interests and learning styles. Additionally, keeping up with rapidly evolving technologies and ensuring that course content remains current can be demanding. Collaboration with other educators and leveraging online resources often help in overcoming these challenges and enhancing student engagement.

What are the key skills and qualifications needed to thrive as a computer science teacher, and why are they important?

To thrive as a Computer Science Teacher, you need a solid background in computer science concepts, teaching credentials, and often a relevant degree or certification in education. Familiarity with programming languages (such as Python or Java), learning management systems, and educational technology tools is typically required. Strong communication, patience, and the ability to inspire and engage students are crucial soft skills. These competencies ensure effective instruction, support diverse learners, and foster a positive and productive classroom environment.

Is there a shortage of computer science teachers?

There is a recognized shortage of qualified computer science teachers in many regions, driven by high demand for technology education and a limited supply of educators with specialized skills in programming, algorithms, and computer systems. This shortage often leads to increased job opportunities, competitive salaries, and a need for ongoing professional development and certifications for teachers in this field.

What do computer science teachers do?

Computer science teachers develop and deliver lessons on programming, algorithms, data structures, and software development. They assess student progress, create curriculum materials, and may incorporate tools like coding platforms and programming languages to facilitate learning in classroom or online settings.

What are the most commonly searched types of Computer Science Teaching jobs in Rhode Island?

The most popular types of Computer Science Teaching jobs in Rhode Island are:

What are popular job titles related to Computer Science Teaching jobs in Rhode Island?

For Computer Science Teaching jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Computer Science Teaching jobs in Rhode Island look for?

The top searched job categories for Computer Science Teaching jobs in Rhode Island are:

What cities in Rhode Island are hiring for Computer Science Teaching jobs?

Cities in Rhode Island with the most Computer Science Teaching job openings:

Computer Science Teaching jobs near you
Infographic showing various Computer Science Teaching job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $64,116 per year, or $30.8 per hour.

Postdoctoral Research Associate in Civic Science and AI-Human Interaction

Brown University

Providence, RI • On-site

Full-time

Re-posted 28 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

170th of 630 rated colleges and universities

Job description

Description
The Data Science Institute at Brown University invites applications for an 18-month Postdoctoral Research Associate position in civic science and AI-human interaction beginning in Fall 2026. The successful candidate will be hosted by ARIA (the NSF AI Research Institute on Interaction with AI Assistants), a $20M federally-funded institute dedicated to the joint scientific study of AI and human cognition, with a focus on mental and behavioral health. The Fellow will bridge foundational research in computational brain science with public engagement and community impact, and will straddle the Carney Institute for Brain Science's Center for Computational Brain Science and the Data Science Institutes' Center for Technological Responsibility, Reimagination, and Redesign. Collaborations with the School of Public Health and/or Rhode Island Hospital will also be encouraged. The position is part of the Rita Allen Foundation's Civic Science Fellows program, and the Fellow will participate in that program's broader cohort of civic scientists in addition to conducting independent research.
For this position, Brown offers only the J-1 visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Qualifications
We seek applicants with a doctoral degree in a relevant field, which may include cognitive science, neuroscience, computer science, public health, science and technology studies, or a related discipline. Strong candidates will have demonstrated experience working across disciplinary boundaries and an interest in both rigorous empirical research and meaningful community engagement. The Fellow will be expected to develop and lead a self-directed research project connecting at least one of ARIA's core scientific workstreams - cognitively-inspired AI, trustworthy human-AI interaction, or AI alignment - with ARIA's participatory design workstream. Example project directions include but are not limited to: empirical study of the neurological, cognitive, or developmental effects of AI companionship; community-informed computational psychiatry (e.g., participatory research around AI tools for managing mental and behavioral health disorders); or psychologically-informed methods for AI models and interfaces.
The Fellow will be expected to work with multiple co-mentors spanning different fields and methodological traditions, to engage regularly with ARIA's research team, and to contribute to the organization of workshops, roundtables, and public engagement events. Deliverables will include peer-reviewed publications, public-facing reports or whitepapers, and presentations to both scientific and non-scientific audiences. The Fellow will join a vibrant interdisciplinary community of researchers across 11 institutions including Brown, Carnegie Mellon, Berkeley, Princeton, NYU, and the Santa Fe Institute.
Application Instructions
To receive full consideration, the following materials should be submitted by noon EDT on Aug 17, 2026 to the application portal:
  1. A cover letter stating the applicant's academic field, status of their dissertation, and proposed research to be conducted during their fellowship period. The cover letter should not exceed 2,000 words and should make clear how the candidate will thrive in and contribute to ARIA's environment. Candidates should also address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.
  2. An up-to-date curriculum vitae
  3. A copy of each graduate transcript
  4. A writing sample, preferably an article or dissertation chapter
  5. Three confidential letters of recommendation from scholars familiar with the applicant's research.

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