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Internship Ai Math Training Jobs (NOW HIRING)

Weekday AI

Maths (Masters or PhD) AI trainer

$110 - $130/hr

You will be evaluating advanced math tasks and solutions and provide clear, written feedback ... AI models Async work and communication with 2-3 calls with clients for calibration Work type ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ... Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ... Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others

Unconventional AI

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

... training platform and co-design training systems alongside novel AI models and hardware ... Math. • Experience: Veteran of the modern ML software stack. Demonstrated ability to map ...

Light and Wonder, Inc.

Math Intern

Chicago, IL · On-site

$25/hr

This is intended to be a three-month internship that could be converted to a full-time opportunity ... Work with other mathematicians to leverage AI to create sophisticated tools for analyzing complex ...

Lnw

Math Intern

Chicago, IL

$25/hr

This is intended to be a three-month internship that could be converted to a full-time opportunity ... Work with other mathematicians to leverage AI to create sophisticated tools for analyzing complex ...

Meridial

$65/hr

Are you a mathematics expert fluent in Dutch, eager to shape the future of AI? Largescale language ... With highquality training data, tomorrow's AI can democratize worldclass education, keep pace with ...

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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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Internship Ai Math Training jobs near you
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Re-posted 4 days ago

Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply