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Internship Ai Math Training Jobs in Chicago, IL (NOW HIRING)

Marmon

AI Project Management Intern

Chicago, IL

$30K - $36K/yr

This internship is designed for a student who is currently attending school and interested in ... Help coordinate discovery sessions, demos, testing sessions, training discussions, and project ...

Marmon Holdings Inc

AI Project Management Intern

Chicago, IL · On-site

$30K - $36K/yr

This internship is designed for a student who is currently attending school and interested in ... Help coordinate discovery sessions, demos, testing sessions, training discussions, and project ...

Marmon

AI Project Management Intern

Chicago, IL · On-site

$30K - $36K/yr

This internship is designed for a student who is currently attending school and interested in ... Help coordinate discovery sessions, demos, testing sessions, training discussions, and project ...

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All JobsAi Math Training JobsInternship Ai Math Training JobsInternship Ai Math Training Jobs in Chicago, IL

Internship Ai Math Training information

What is the difference between Internship Ai Math Training vs Data Analyst?

AspectInternship Ai Math TrainingData Analyst
Required CredentialsBasic math, programming skills, often no formal certificationBachelor's in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentTraining programs, educational settings, tech companiesCorporate offices, data-driven industries, consulting firms
Employer & Industry UsageEducational institutions, tech startups, AI research labsBusiness, finance, healthcare, marketing
Search & Comparison IntentLearning, skill development, entry-level opportunitiesCareer advancement, job requirements, industry roles

Internship Ai Math Training focuses on skill development in AI and math through educational programs, often without formal certifications. Data Analysts analyze data to inform business decisions, typically requiring relevant degrees and certifications. While both roles involve data and math skills, internships are training opportunities, whereas data analyst roles are professional jobs.

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Principal Physics Consultant - AI Training

micro1 AI

Elgin, IL • Remote

$80 - $160/hr

Part-time

Posted 17 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. 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. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply