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Remote Computer Science Teaching Jobs in Plano, TX

Varsity Tutors

Computer Programming Tutor

Mckinney, TX · Remote

$40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Varsity Tutors

Computer Programming Tutor

Dallas, TX · Remote

$40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Varsity Tutors

Computer Programming Tutor

Allen, TX · Remote

$40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Varsity Tutors

Computer Programming Tutor

Plano, TX · Remote

$40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Varsity Tutors

Computer Programming Tutor

Irving, TX · Remote

$40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

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Remote Computer Science Teaching information

See Plano, TX salary details

$34.9K

$62.7K

$116.3K

How much do remote computer science teaching jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computer science teaching in Plano, TX is $62,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a Remote Computer Science Teaching job?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Teaching position, and why are they important?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.
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Remote Computer Science Teaching jobs near you

Computer Engineering Expert - AI Content Specialist

Alignerr

Dallas, TX • Remote

$35 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Computer Engineering Expert - AI Content Specialist
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems-documenting every failure mode so we can harden model reasoning.
Organization
: Alignerr
Position
: Computer Engineering Expert - AI Content Specialist
Type
: Hourly Contract
Compensation
: $35-$60 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as race conditions, memory leaks, or improper timing constraints-and provide structured feedback to improve the model's "thinking" process.
Requirements:
  • Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
  • No AI experience required
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Apply