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Remote No Experience Computer Science Jobs in Utah

Other related fields include, but are not limited to: applied skills in statistics and/or computer science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

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Remote No Experience Computer Science information

What are the key skills and qualifications needed to thrive in a remote, entry-level computer science role, and why are they important?

To succeed in a remote, entry-level computer science position, you need a basic understanding of programming concepts, problem-solving skills, and familiarity with computer science fundamentals, which can be gained through online courses or self-study. Knowledge of common programming languages (such as Python or Java), version control systems like Git, and project management tools is typically expected. Strong self-motivation, effective communication, and the ability to collaborate virtually with team members are standout soft skills. These abilities are crucial for efficiently delivering quality work, maintaining productivity, and integrating seamlessly into distributed teams.

What types of entry-level tasks can I expect in a remote computer science role with no prior experience?

In a remote, entry-level computer science position, you’ll typically start with foundational tasks such as software testing, simple coding assignments, data entry, documentation, or providing technical support. These responsibilities help you build practical skills and familiarize yourself with the company’s technology stack and workflows. You’ll often collaborate with more experienced team members through virtual meetings, code reviews, and collaborative platforms, which provides valuable mentorship and insight into industry best practices. As you gain confidence and demonstrate your abilities, you may be entrusted with more complex projects or specialized tasks.

What is the difference between Remote No Experience Computer Science vs Remote No Experience Software Developer?

AspectRemote No Experience Computer ScienceRemote No Experience Software Developer
Required CredentialsBasic computer science knowledge, possibly a degree or certificationBasic programming skills, coding bootcamp or self-taught experience
Work EnvironmentRemote entry-level roles, often in tech support or data entryRemote entry-level coding or development tasks, internships, or junior roles
Industry UsageUsed broadly in tech, education, and support sectorsPrimarily in software development, app creation, and tech companies
Search & Comparison IntentLooking for beginner-friendly tech roles with no experienceSeeking entry-level coding or development positions remotely

Remote No Experience Computer Science roles focus on foundational tech knowledge and may include support or data entry jobs, while Remote No Experience Software Developer positions involve basic coding tasks and entry-level development work. Both are suitable for beginners but differ in job focus and industry application.

What job categories do people searching Remote No Experience Computer Science jobs in Utah look for? The top searched job categories for Remote No Experience Computer Science jobs in Utah are:
What cities in Utah are hiring for Remote No Experience Computer Science jobs? Cities in Utah with the most Remote No Experience Computer Science job openings:
Data Science Consultant

Data Science Consultant

DataAnnotation

Salt Lake City, UT • On-site, Remote

$40/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, starting at $40+ USD per 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