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Remote Internship Machine Learning Engineer Jobs in Tennessee

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

New

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

New

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

New

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

New

Engineering & Science Job Schedule: Full time Remote: No JR Automation, a Hitachi Group Company ... Interact with customers during the definition of machine requirements, concept development, and ...

... machine learning use cases. Ad-hoc analysis and reporting will remain a core responsibility of this role as the analytics function matures. You'll work closely with a Senior Solutions Engineer who ...

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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Remote Internship Machine Learning Engineer information

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in Tennessee? For Remote Internship Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Internship Machine Learning Engineer jobs? Cities in Tennessee with the most Remote Internship Machine Learning Engineer job openings:
Infographic showing various Remote Internship Machine Learning Engineer job openings in Tennessee as of June 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Domain Expert - (STEM PhD)

Domain Expert - (STEM PhD)

micro1 AI

Memphis, TN • Remote

$80 - $90/hr

Part-time

Posted 2 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. 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 — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions