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Remote Ai Graduate Jobs in Michigan (NOW HIRING)

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience

... house EMR and AI-assisted SOAP notes that help you focus on patient care. Backed by leading ... A license in good standing with no malpractice or disciplinary actions * 3+ years post-graduate ...

... house EMR and AI-assisted SOAP notes that help you focus on patient care. Backed by leading ... A license in good standing with no malpractice or disciplinary actions * 3+ years post-graduate ...

... house EMR and AI-assisted SOAP notes that help you focus on patient care. Backed by leading ... A license in good standing with no malpractice or disciplinary actions * 3+ years post-graduate ...

Remote Ai Graduate information

What is a Remote AI Graduate?

A Remote AI Graduate is someone who has recently completed a degree or certification in artificial intelligence and works in an entry-level AI role from a remote location. These professionals typically assist with machine learning projects, data analysis, or AI research while collaborating with teams online. Working remotely allows them to contribute to AI projects for companies or research institutions without being physically present at an office. This role is ideal for recent graduates looking to gain experience in the field of artificial intelligence while enjoying workplace flexibility.

What are the key skills and qualifications needed to thrive as a Remote AI Graduate?

To thrive as a Remote AI Graduate, you need a solid understanding of machine learning concepts, programming proficiency (typically in Python), and a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills ensure you can contribute effectively to AI projects, adapt to evolving technologies, and work productively in a distributed team environment.

What are some typical challenges faced by Remote AI Graduates when starting their first role, and how can they overcome them?

Remote AI Graduates often encounter challenges such as adapting to asynchronous communication, staying self-motivated without in-person supervision, and bridging the gap between academic knowledge and real-world applications. To overcome these, it's helpful to establish a structured daily routine, actively participate in team meetings and discussions, and seek feedback from mentors or peers. Leveraging collaboration tools and proactively asking questions can also help you integrate smoothly into remote teams and accelerate your professional growth.

What cities in Michigan are hiring for Remote Ai Graduate jobs?

Cities in Michigan with the most Remote Ai Graduate job openings:

Infographic showing various Remote Ai Graduate job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Computational Mechanics Expert - PhD - AI Trainer

Mercor

Detroit, MI • Remote

$70 - $85/hr

Full-time

Posted 11 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: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in scientific research.
  • Develop problems requiring AI to execute complex workflows using specialized scientific software.
  • Test and refine problems against state-of-the-art AI models to achieve the desired difficulty.
  • Collaborate independently to improve problem designs and ensure strategic reasoning.
  • Utilize open-source computational tools like FEniCSx/DOLFINx, OpenFOAM, and others for problem creation.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine designs based on feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching 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