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Remote No Experience Computer Science Jobs in Minnesota

Remote Spanish Bilingual Customer Service

Mankato, MN · Remote

$15.25 - $19.25/hr

At least 1 year of phone-based customer support experience * Computer skills, including navigating multiple systems and documenting call notes * Ability to sit for long periods * Patience and empathy

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

... Computer Science, or related disciplines * Strong understanding of Medicaid/DSNP products or the ... No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits ...

Showing results 41-60

Remote No Experience Computer Science information

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

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 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 are the most commonly searched types of Remote Computer Science jobs in Minnesota?

The most popular types of Remote Computer Science jobs in Minnesota are:

What are popular job titles related to Remote No Experience Computer Science jobs in Minnesota?

For Remote No Experience Computer Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote No Experience Computer Science jobs in Minnesota look for?

The top searched job categories for Remote No Experience Computer Science jobs in Minnesota are:

What cities in Minnesota are hiring for Remote No Experience Computer Science jobs?

Cities in Minnesota with the most Remote No Experience Computer Science job openings:

Senior Scientific Reviewer - Physics

micro1 AI

Minneapolis, MN • On-site, Remote

$80 - $150/hr

Part-time

Posted 19 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.