This is an unpaid internship opportunity. Are you still interested in the role? * What interests ... Python (primary language for AI/ML pipeline work) Experience with REST APIs and at least one ...
This is an unpaid internship opportunity. Are you still interested in the role? * What interests ... Python (primary language for AI/ML pipeline work) Experience with REST APIs and at least one ...
This is an unpaid internship opportunity. Are you still interested in the role? * What interests ... Python (primary language for AI/ML pipeline work) • Experience with REST APIs and at least one ...
This is an unpaid internship opportunity. Are you still interested in the role? * What interests ... Python (primary language for AI/ML pipeline work) • Experience with REST APIs and at least one ...
Python Unpaid Intern information
What are the key skills and qualifications needed to thrive as a Python Unpaid Intern, and why are they important?
To thrive as a Python Unpaid Intern, you should have a foundational understanding of Python programming, problem-solving abilities, and preferably be pursuing or have completed relevant coursework in computer science or a related field. Familiarity with development tools such as Git, code editors like VS Code, and basic knowledge of libraries such as pandas or Flask is often expected. Strong communication, eagerness to learn, and a collaborative attitude help you stand out and quickly adapt to team projects. These skills are crucial because they enable you to contribute meaningfully, learn efficiently, and gain valuable experience in a real-world software development environment.
What types of projects and tasks can a Python Unpaid Intern expect to work on during their internship?
As a Python Unpaid Intern, you will typically be involved in supporting ongoing development projects, such as writing and testing code, debugging, and automating repetitive tasks. Interns often collaborate with full-time developers and may assist with data analysis, creating scripts, or contributing to open-source initiatives. This role provides hands-on experience within a collaborative team environment, allowing you to learn industry-standard tools and workflows. You'll also have opportunities to receive mentorship and feedback, which are valuable for building your technical and professional skills.
What are Python Unpaid Interns?
Python Unpaid Interns are individuals, often students or recent graduates, who participate in short-term, unpaid positions to gain hands-on experience in Python programming. These internships typically involve assisting with coding, debugging, software development, or data analysis tasks under the supervision of experienced developers. The main goal is to help interns develop practical skills, build their portfolios, and expand their professional networks, even though they do not receive monetary compensation. Unpaid internships are often offered by startups, non-profits, or academic institutions, and may provide academic credit or a certificate upon completion.
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Other
Posted 28 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:
- This is an unpaid internship opportunity. Are you still interested in the role?
- 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.)
- 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.)
- How many hours per week are you available to commit to this internship?
- 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.
About Accel Learning
Sourced by ZipRecruiter
Company size
201 - 500 Employees
Headquarters location
Secaucus, NJ, US
Year founded
2011