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Remote Computer Science Teaching Jobs in Raleigh, NC

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field * 7-10+ ...

Contemporaries

Be Seen First

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Bachelor's degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental ...

First Citizens Bank

Data Engineer II

Raleigh, NC · Remote

$143.25K - $187.07K/yr

This is a remote role that may be hired in the States of North Carolina, Georgia and Arizona. Qualifications Position requires a Bachelor's degree in Computer Science, Information Science, or a ...

First Citizens Bank

Data Engineer II

Raleigh, NC · Remote

$143.25K - $187.07K/yr

This is a remote role that may be hired in the States of North Carolina, Georgia and Arizona. Qualifications Position requires a Bachelor's degree in Computer Science, Information Science, or a ...

LexisNexis

Senior Manager Data Science

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. * 10 years of ...

Varsity Tutors

Java Tutor

Raleigh, NC · Remote

$40/hr

... Computer Science A, college-level software development, and industry certification examinations. * Conceptual Teaching & Problem-Solving: Skilled at breaking down class design, inheritance ...

Varsity Tutors

Discrete Math Tutor

Raleigh, NC · Remote

$40/hr

... students for computer science theory, cryptography, and advanced mathematics coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down proof construction using direct ...

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All JobsRemote Computer Science Teaching JobsRemote Computer Science Teaching Jobs in Raleigh, NC

Remote Computer Science Teaching information

See Raleigh, NC salary details

$35.5K

$63.6K

$118.1K

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

As of May 30, 2026, the average yearly pay for remote computer science teaching in Raleigh, NC is $63,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $67,600.00 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.
More about Remote Computer Science Teaching jobs
What are the most commonly searched types of Computer Science Teaching jobs in Raleigh, NC? The most popular types of Computer Science Teaching jobs in Raleigh, NC are:
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What cities near Raleigh, NC are hiring for Remote Computer Science Teaching jobs? Cities near Raleigh, NC with the most Remote Computer Science Teaching job openings:
Remote Computer Science Teaching jobs near you
Infographic showing various Remote Computer Science Teaching job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $63,643 per year, or $30.6 per hour.
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$60/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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