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Computer Science Freelance Remote Jobs in Michigan

DataAnnotation

Data Science Consultant

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 ...

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 ...

Learner Education

Online Science Tutor

Grand Rapids, MI · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

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 ...

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Computer Science Freelance Remote information

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

To thrive as a Computer Science Freelance Remote professional, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a relevant degree or portfolio. Familiarity with popular coding languages, version control systems like Git, and project management tools such as Jira or Trello is essential. Excellent time management, proactive communication, and adaptability are standout soft skills for remote success. These skills and qualities are crucial for delivering high-quality work, meeting client expectations, and maintaining productivity in a self-directed, remote environment.

What are some typical challenges faced by remote freelance computer science professionals, and how can they be effectively managed?

Remote freelance computer science professionals often face challenges such as managing multiple client deadlines, maintaining clear communication across different time zones, and ensuring consistent motivation without in-person supervision. To effectively manage these, it's important to use project management tools, set clear expectations with clients, and establish a structured daily routine. Regular check-ins and leveraging collaborative platforms can also help maintain transparency and build strong working relationships with clients and team members.

What does a Computer Science Freelance Remote professional do?

A Computer Science Freelance Remote professional works independently, often from home or any location with internet access, providing their expertise in areas such as software development, programming, data analysis, or IT support to various clients. Their responsibilities can include building applications, troubleshooting systems, developing websites, or managing databases on a contract basis. This type of work offers flexibility in scheduling and project selection but also requires strong time management and communication skills to deliver quality results to diverse clients.

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

AspectComputer Science Freelance RemoteSoftware Developer
CredentialsTypically requires a degree in computer science or related field, with certifications optionalUsually requires a degree in computer science or software engineering, with certifications beneficial
Work EnvironmentRemote, freelance projects for various clientsOften remote or on-site, employed by a company or organization
Employer & Industry UsageUsed by independent contractors across tech, startups, and consultingEmployed by tech companies, startups, or corporations
Search & Comparison IntentPeople compare freelance roles with full-time software development jobsOften compared with freelance or contract roles in software development

Computer Science Freelance Remote professionals work independently on diverse projects, often remotely, while Software Developers are typically employed by organizations. Both roles require similar educational backgrounds, but their work settings and employment types differ significantly.

What are the most commonly searched types of Computer Science Remote jobs in Michigan? The most popular types of Computer Science Remote jobs in Michigan are:
What are popular job titles related to Computer Science Freelance Remote jobs in Michigan? For Computer Science Freelance Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Computer Science Freelance Remote jobs in Michigan look for? The top searched job categories for Computer Science Freelance Remote jobs in Michigan are:
What cities in Michigan are hiring for Computer Science Freelance Remote jobs? Cities in Michigan with the most Computer Science Freelance Remote job openings:
Computer Science Freelance Remote jobs near you
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Lansing, MI • On-site, Remote

$40/hr

Full-time

Posted 18 days ago

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

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