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Python Coding Internship Jobs in Long Island, NY

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Strong programming experience in Python with production-level coding quality * Experience with Unix ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Strong programming experience in Python with production-level coding quality * Experience with Unix ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Internship Overview Join us in New York City for 10-12 weeks and help build the next generation of ... Contribute features to our Next.js + Python stack, from API to UI * Prototype and benchmark LLM ...

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All JobsPython Coding Internship JobsPython Coding Internship Jobs in Long Island, NY

Python Coding Internship information

See Long Island, NY salary details

$13

$59

$87

How much do python coding internship jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for python coding internship in Long Island, NY is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

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

To thrive as a Python Coding Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, code editors such as VS Code, and basic knowledge of frameworks like Flask or Django is often expected. Strong communication, eagerness to learn, and teamwork are soft skills that help interns collaborate effectively and adapt quickly. These skills and qualities are crucial for contributing to projects, learning from mentors, and building a foundation for a successful software development career.

What is the difference between Python Coding Internship vs Python Developer?

AspectPython Coding InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in CS or related fieldProfessional experience, often with a degree or certifications in Python or software development
Work EnvironmentInternship programs, entry-level projects, supervised settingsFull-time employment, collaborative teams, project ownership
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Search & Comparison IntentLooking for entry-level Python roles or internshipsSeeking professional Python development roles

The main difference between a Python Coding Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining initial exposure, often with supervised tasks. Python Developers are experienced professionals managing complex projects independently. Both roles are essential in the Python ecosystem, but they serve different career stages and expectations.

What types of projects can I expect to work on during a Python Coding Internship?

As a Python Coding Intern, you will likely be assigned to real-world projects that help build your programming skills and exposure to industry practices. These projects often range from developing automation scripts, data analysis tools, or web applications to assisting in quality assurance and debugging tasks. You may work independently on small assignments or collaborate with experienced developers on larger features. This hands-on experience not only strengthens your technical skills but also helps you learn teamwork, version control, and agile development methods commonly used in professional environments.

What is a Python Coding Internship?

A Python Coding Internship is a temporary position designed for students or recent graduates to gain practical experience in programming with Python. Interns typically work on real-world projects, assist with software development tasks, and learn from experienced developers. The internship provides hands-on exposure to coding, debugging, and using Python libraries and frameworks. It is an excellent opportunity to build technical skills, enhance your resume, and network within the tech industry.
What are popular job titles related to Python Coding Internship jobs in Long Island, NY? For Python Coding Internship jobs in Long Island, NY, the most frequently searched job titles are:
What job categories do people searching Python Coding Internship jobs in Long Island, NY look for? The top searched job categories for Python Coding Internship jobs in Long Island, NY are:
What cities near Long Island, NY are hiring for Python Coding Internship jobs? Cities near Long Island, NY with the most Python Coding Internship job openings:
Python Coding Internship jobs near you
Infographic showing various Python Coding Internship job openings in Long Island, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $124,001 per year, or $59.6 per hour.
AI Engineer Internship Intelligent Question Bank Platform

AI Engineer Internship Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Posted 12 days ago

Job description

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:
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