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Remote Computer Science Teaching Jobs in Colorado

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 ...

DataAnnotation

Decision Scientist - AI Trainer

Denver, CO · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Relativity

Senior Applied Scientist

Denver, CO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

University of Colorado

Instructor

Denver, CO · On-site +1

$92K - $102K/yr

Qualified to teach both undergraduate- and Masters-level courses. A candidate must either possess: * A Ph.D. or DBA in Information Systems, Computer Science, Data Science, or a terminal degree in a ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94.87K - $158.12K/yr

... teaching and more. Desired Qualifications: * M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields. * Experience with our products and an ...

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Remote Computer Science Teaching information

See Colorado salary details

$38.4K

$68.8K

$127.8K

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 Colorado is $68,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $73,100.00 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 Colorado? The most popular types of Computer Science Teaching jobs in Colorado are:
What are popular job titles related to Remote Computer Science Teaching jobs in Colorado? For Remote Computer Science Teaching jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Teaching jobs in Colorado look for? The top searched job categories for Remote Computer Science Teaching jobs in Colorado are:
What cities in Colorado are hiring for Remote Computer Science Teaching jobs? Cities in Colorado 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 Colorado as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $68,843 per year, or $33.1 per hour.
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Denver, CO • 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). 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. #J-18808-Ljbffr

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