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Internship Ai Reviewer Jobs (NOW HIRING)

Digital Infuzion

Internship Opportunities

Rockville, MD · On-site

AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge ... Academic Transcript (unofficial PDF or screenshot acceptable) Upon review of your application, if ...

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

Participate in code review as both author and reviewer. Final Presentation: Present your work, findings, and recommendations to AI Lab leadership and team members at the end of the internship period.

Rockstar

Jr AI Engineer

Participate in code reviews, design discussions, team planning, and documentation efforts. * Learn ... Internship experience, academic work, bootcamp projects, portfolio projects, or open-source ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Understanding of software engineering fundamentals (unit tests, code reviews, documentation)

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Understanding of software engineering fundamentals (unit tests, code reviews, documentation)

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Participate in code reviews, team meetings, and Agile/Scrum ceremonies to gain exposure to ...

Product Ventures

Internship General Application

Fairfield, CT · On-site

$15.25 - $19.75/hr

Interns at Product Ventures have the unique opportunity to gain exposure to every aspect of design ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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Internship Ai Reviewer information

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How much do internship ai reviewer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship ai reviewer in the United States is $17.64, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Reviewer vs Data Annotator?

AspectInternship Ai ReviewerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer related courseworkHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Industry UsageTech, AI, machine learning companiesTech, AI, data services
Common Search/ComparisonInternship Ai Reviewer vs Data Annotator

The Internship Ai Reviewer and Data Annotator roles both involve working with data in AI projects. The main difference is that Internship Ai Reviewers typically evaluate and verify AI outputs during internships, while Data Annotators focus on labeling and preparing data for training AI models. Both roles require similar credentials and are used in tech and AI industries, but their specific tasks differ slightly.

What cities are hiring for Internship Ai Reviewer jobs? Cities with the most Internship Ai Reviewer job openings:
What are the most commonly searched types of Ai Reviewer jobs? The most popular types of Ai Reviewer jobs are:
What states have the most Internship Ai Reviewer jobs? States with the most job openings for Internship Ai Reviewer jobs include:
Internship Ai Reviewer jobs near you
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Internship

Posted 12 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.