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Remote Walmart Computer Science Jobs in Michigan

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 ...

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 ...

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 ...

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 ...

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 ...

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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Remote Walmart Computer Science information

What is the difference between Remote Walmart Computer Science vs Remote Walmart Software Engineer?

AspectRemote Walmart Computer ScienceRemote Walmart Software Engineer
Required CredentialsBachelor's in Computer Science or related field, possibly certificationsBachelor's in Computer Science, Software Engineering, or related; certifications may be beneficial
Work EnvironmentRemote, collaborative teams, corporate settingRemote, development teams, agile environment
Employer & Industry UsageWalmart's tech and corporate divisionsWalmart's software development and engineering teams
Common Search & ComparisonOften compared for tech roles at WalmartFocuses on coding, development, and software projects

Remote Walmart Computer Science roles typically involve broader technical research, data analysis, or system design, while Remote Walmart Software Engineer positions focus on coding, developing, and maintaining software applications. Both roles require similar educational backgrounds and work environments, but their daily tasks and focus areas differ slightly, catering to different aspects of Walmart's technology needs.

What are popular job titles related to Remote Walmart Computer Science jobs in Michigan? For Remote Walmart Computer Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Walmart Computer Science jobs in Michigan look for? The top searched job categories for Remote Walmart Computer Science jobs in Michigan are:
What cities in Michigan are hiring for Remote Walmart Computer Science jobs? Cities in Michigan with the most Remote Walmart Computer Science job openings:
Infographic showing various Remote Walmart Computer Science job openings in Michigan as of May 2026, with employment types broken down into 4% As Needed, 52% Full Time, 40% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, and 8% Hybrid job distribution.
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Lansing, MI • 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