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Remote Python Django Backend Developer Jobs in Detroit, MI

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... front-end, back-end, full-stack, machine learning, and other engineers -- who are driving real ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... front-end, back-end, full-stack, machine learning, and other engineers -- who are driving real ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... front-end, back-end, full-stack, machine learning, and other engineers -- who are driving real ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... front-end, back-end, full-stack, machine learning, and other engineers -- who are driving real ...

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... 1. Utilizing Python, JavaScript, Java, and test automation tools, platforms, and frameworks ... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ...

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Remote Python Django Backend Developer information

See Detroit, MI salary details

$15.8K

$146.7K

$189.1K

How much do remote python django backend developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote python django backend developer in Detroit, MI is $146,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $165,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Django Backend Developer, and why are they important?

To thrive as a Remote Python Django Backend Developer, you need strong programming skills in Python, a deep understanding of the Django framework, and experience with RESTful API design, supported by a relevant degree or proven track record. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and deployment tools like Docker or cloud services is typically required. Excellent problem-solving, self-motivation, and communication skills are crucial for collaborating with distributed teams and managing tasks independently. These skills ensure you can build robust, scalable backend solutions while working efficiently in a remote environment.

What is the difference between Remote Python Django Backend Developer vs Remote Flask Backend Developer?

AspectRemote Python Django Backend DeveloperRemote Flask Backend Developer
Required CredentialsPython proficiency, Django framework knowledge, often a degree in Computer SciencePython proficiency, Flask framework familiarity, often a degree in Computer Science
Work EnvironmentCollaborative teams, larger projects, enterprise-level applicationsSmaller projects, startups, flexible environments
Industry UsageWeb applications, content management systems, e-commerceAPIs, microservices, lightweight web apps
Search & Comparison IntentOften compared for backend frameworks, enterprise vs. lightweight projects

Remote Python Django Backend Developers typically work on larger, scalable web applications using the Django framework, which offers built-in features for rapid development. In contrast, Remote Flask Backend Developers focus on lightweight, flexible microservices and APIs, often in startup or smaller project environments. Both roles require strong Python skills and familiarity with web development, but they differ in project scope and complexity.

What does a Remote Python Django Backend Developer do?

A Remote Python Django Backend Developer is responsible for building and maintaining the server-side logic of web applications using the Django framework and Python programming language. They work on database management, API development, and integrating third-party services, ensuring that the backend of the application is robust, secure, and efficient. As the role is remote, developers collaborate with team members and stakeholders online, using tools for code versioning, project management, and communication. Their work enables the frontend of web applications to function properly and deliver a seamless user experience.

How does a Remote Python Django Backend Developer typically collaborate with other team members in a distributed environment?

As a Remote Python Django Backend Developer, you’ll frequently collaborate with frontend developers, product managers, and QA engineers using digital communication tools like Slack, Jira, and Zoom. Regular stand-up meetings and code reviews are common practices to ensure project alignment and maintain code quality. You may also work closely with DevOps teams to deploy and maintain applications in cloud environments. Clear documentation and proactive communication are essential for effective teamwork when working remotely.
What are popular job titles related to Remote Python Django Backend Developer jobs in Detroit, MI? For Remote Python Django Backend Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Python Django Backend Developer jobs in Detroit, MI look for? The top searched job categories for Remote Python Django Backend Developer jobs in Detroit, MI are:
Structural Engineer - Computational Mechanics - AI Trainer

Structural Engineer - Computational Mechanics - AI Trainer

Mercor

Detroit, MI • On-site, Remote

$70 - $100/hr

Full-time

Posted 29 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Structural & Mechanical Engineering
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries.
  • Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments.
  • Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty.
  • Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.
  • Collaborate asynchronously to improve AI model performance and problem-solving strategies.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Proficiency with at least one listed scientific software library.
  • Strong Python programming skills.
  • Ability to work independently and iterate on problem designs.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor