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Intern Coding Tutor Jobs in New York (NOW HIRING)

Intern Coding Tutor information

What are the key skills and qualifications needed to thrive as an Intern Coding Tutor, and why are they important?

To thrive as an Intern Coding Tutor, you need a solid understanding of programming fundamentals, experience with at least one programming language, and current enrollment in or completion of a relevant degree program. Familiarity with coding platforms like GitHub, online learning management systems, and basic troubleshooting tools is typically required. Strong communication skills, patience, and the ability to explain technical concepts clearly help you stand out in this position. These skills and qualities ensure effective student learning, foster a supportive environment, and build trust with learners.

What does an Intern Coding Tutor do?

An Intern Coding Tutor assists students in learning programming concepts and languages, often under the supervision of more experienced tutors or instructors. Their responsibilities typically include helping students understand coding assignments, answering technical questions, and providing feedback on code. They may also support classroom activities, offer one-on-one tutoring sessions, and help create educational resources. This role is a great opportunity for gaining teaching experience and deepening one’s understanding of programming.

What are some common challenges faced by Intern Coding Tutors when working with students, and how can they be overcome?

Intern Coding Tutors often encounter students with varying levels of programming experience and learning styles, which can make it challenging to tailor explanations effectively. It is important to remain patient, use clear examples, and adapt teaching methods to individual needs. Collaborating with senior tutors or participating in team meetings can provide valuable strategies for addressing student difficulties. Building strong communication skills and proactively seeking feedback helps interns continually improve their tutoring approach and support student success.

What is the difference between Intern Coding Tutor vs Coding Instructor?

AspectIntern Coding TutorCoding Instructor
CredentialsBasic programming knowledge, often enrolled in related coursesAdvanced skills, certifications, or teaching experience preferred
Work EnvironmentInternship settings, educational programs, coding bootcampsFormal classrooms, online courses, workshops
Employer & IndustryEducational institutions, coding bootcamps, tech companiesSchools, training centers, online education platforms

Intern Coding Tutors typically assist with basic coding concepts under supervision, gaining experience, while Coding Instructors deliver structured lessons, often with more advanced knowledge. Both roles support tech education but differ in experience level and responsibilities.

What are the most commonly searched types of Coding Tutor jobs in New York? The most popular types of Coding Tutor jobs in New York are:
What cities in New York are hiring for Intern Coding Tutor jobs? Cities in New York with the most Intern Coding Tutor job openings:
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Re-posted 7 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.