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Part Time Computer Science Training Jobs in Detroit, MI

AI Training Specialist - Physics

Dearborn, MI ยท On-site +1

$80 - $150/hr

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

We are looking for a part-time Software Engineer who will assist us with the design, development ... in Computer Science or Engineering Perks of joining our team: * Flexibility to work whenever you ...

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Part Time Computer Science Training information

What is part time computer science training?

Part time computer science training refers to educational programs or courses in computer science that are designed to be completed on a flexible schedule, typically requiring fewer hours per week than full-time programs. These courses are ideal for individuals who have other commitments, such as work or family, and want to gain or improve their computer science skills at their own pace. Training may cover topics like programming, data structures, algorithms, and software development. Part time training can be offered by universities, online platforms, or bootcamps, and may lead to certificates or preparation for further study. This approach allows learners to balance education with other responsibilities.

What are the key skills and qualifications needed to thrive as a part-time computer science trainer, and why are they important?

To thrive as a Part-Time Computer Science Trainer, you need a solid understanding of core computer science concepts, programming languages, and instructional experience, typically backed by a relevant degree or professional certifications. Familiarity with learning management systems (LMS), code collaboration platforms, and educational tools like Zoom or Google Classroom is often required. Strong communication, patience, and adaptability help trainers effectively engage and support diverse learners. These skills are essential for delivering high-quality training, fostering student success, and keeping pace with evolving technology.

What are some common challenges faced by part-time computer science trainers, and how can they be addressed?

Part-time computer science trainers often encounter challenges such as managing diverse student backgrounds, keeping up with rapidly changing technology, and balancing multiple responsibilities across different commitments. To address these, trainers can develop adaptable lesson plans, leverage online resources for up-to-date materials, and use collaborative tools to stay organized. Additionally, fostering open communication with students and other faculty members can help create a supportive learning environment and ensure a successful training experience.

What is the difference between Part Time Computer Science Training vs Part Time Software Developer?

AspectPart Time Computer Science TrainingPart Time Software Developer
CredentialsTypically no formal credentials required; focus on foundational knowledgeOften requires programming skills, experience, or certifications
Work EnvironmentClassroom or online learning settingsRemote or on-site project-based work
Industry UsageUsed for skill development and educationUsed for actual software development projects
Search IntentLearning and training optionsJob opportunities and freelance work

Part Time Computer Science Training focuses on education and skill-building, often in classroom or online settings, without requiring prior experience. In contrast, Part Time Software Developer roles involve applying programming skills to develop software, typically requiring prior knowledge or certifications. While training prepares you for development work, the developer role involves actual project execution in a professional environment.

What cities near Detroit, MI are hiring for Part Time Computer Science Training jobs?

Cities near Detroit, MI with the most Part Time Computer Science Training job openings:

Infographic showing various Part Time Computer Science Training job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

AI Training Specialist - Physics

micro1 AI

Dearborn, MI โ€ข On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of othersโ€”through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.