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Remote Computer Science Student Jobs in Michigan

DataAnnotation

Data Scientist

Lansing, MI · Remote

$40/hr

Other related fields include, but are not limited to: applied skills in statistics and/or computer science. Benefits Full‐time or part‐time remote position Choose which projects you want to work ...

Lorven Technologies

OpCon Admin - Remote

Southfield, MI · On-site +1

Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience * 2+ years of experience ...

DataAnnotation

Decision Scientist

Lansing, MI · 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

Detroit, MI · 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 ...

Lake Trust Credit Union

Loan Systems Analyst

Brighton, MI · On-site +1

$36K - $48.40K/yr

Hybrid Position: 3 days in Brighton, MI and 2 days remote More Than A Job! Why do you work each day ... Knowledge typically acquired through the completion of a bachelor's degree in computer science ...

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Remote Computer Science Student information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Student, and why are they important?

To thrive as a Remote Computer Science Student, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by enrollment in a computer science degree program. Familiarity with coding platforms (like GitHub), learning management systems (such as Canvas or Blackboard), and collaboration tools (like Zoom and Slack) is common. Self-motivation, time management, and strong written communication skills are essential soft skills for remote study success. These competencies ensure effective learning, collaboration, and progress in a virtual academic environment.

What are some effective strategies for staying engaged and productive as a remote computer science student?

As a remote computer science student, maintaining engagement and productivity can be challenging due to fewer in-person interactions and the need for self-discipline. Setting a structured daily schedule, actively participating in virtual discussions, and regularly collaborating with peers on group projects can help. Utilizing online resources, seeking feedback from instructors, and joining virtual study groups are also effective ways to stay connected and motivated. It's important to create a dedicated workspace and set clear goals to manage your time efficiently and avoid distractions.

What is a remote computer science student?

A remote computer science student is someone who is studying computer science online, rather than attending classes in person. This allows them to access coursework, lectures, and assignments through digital platforms from anywhere with an internet connection. Remote students often interact with professors and classmates via email, discussion boards, or video calls. This flexible learning format can be beneficial for those balancing other commitments or living far from campus.

What is the difference between Remote Computer Science Student vs Remote Software Developer?

AspectRemote Computer Science StudentRemote Software Developer
Required CredentialsEnrolled in a computer science program, often no professional certifications neededTypically holds a degree or certification in software development or related field
Work EnvironmentPart-time or internship roles, flexible hours, learning-focusedFull-time or project-based, professional work environment
Employer & Industry UsageEducational institutions, internships, entry-level projectsTech companies, startups, freelance projects
Search & Comparison IntentLooking for learning opportunities, internships, or entry-level rolesSeeking professional remote software development jobs

The main difference between a Remote Computer Science Student and a Remote Software Developer lies in their experience and employment status. Students focus on learning and internships, often without professional certifications, while software developers are experienced professionals working on projects. Both roles may work remotely, but their responsibilities and career stages differ.

What are the most commonly searched types of Computer Science Student jobs in Michigan? The most popular types of Computer Science Student jobs in Michigan are:
What are popular job titles related to Remote Computer Science Student jobs in Michigan? For Remote Computer Science Student jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Student jobs in Michigan look for? The top searched job categories for Remote Computer Science Student jobs in Michigan are:
What cities in Michigan are hiring for Remote Computer Science Student jobs? Cities in Michigan with the most Remote Computer Science Student job openings:
Remote Computer Science Student jobs near you
Infographic showing various Remote Computer Science Student job openings in Michigan as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Lansing, MI • 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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