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Intern Ai Manager Jobs (NOW HIRING)

$32 - $40/hr

Overview The AI Engineer Intern focuses on researching and developing advanced healthcare ... Leadership & Management * Partners with Business Units to provide reliable intelligence, validated ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... managing complex technology solutions. As part of our strategic transformation, Black Box is ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... managing complex technology solutions. As part of our strategic transformation, Black Box is ...

Intern: AI Engineering (Fall 2026)

Greensboro, NC · On-site

$16.25 - $21/hr

What you will do As an intern, you will play a crucial role in advancing AI initiatives at VFS ... Work closely with cross-functional teams, including engineering, product management, marketing, and ...

New

$29.90/hr

As an AI and Data Analytics Intern, you will work closely with our Sr. Data Analyst and our IT Project Manager to gain hands-on experience in data analytics, machine learning, and technology ...

As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure ...

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Intern Ai Manager information

What is the difference between Intern Ai Manager vs Intern Data Scientist?

AspectIntern Ai ManagerIntern Data Scientist
Required CredentialsBasic knowledge of AI concepts, relevant coursework, or certificationsStrong statistical, programming, and data analysis skills, often with coursework or certifications
Work EnvironmentCollaborates with AI teams, project planning, and management tasksData analysis, model development, and data visualization tasks
Industry UsageAI development projects across tech, finance, healthcareData analysis and modeling in various sectors like marketing, finance, tech

Intern Ai Managers focus on overseeing AI projects and coordinating teams, while Intern Data Scientists primarily analyze data and develop models. Both roles require foundational knowledge in data and AI, but the Intern Ai Manager emphasizes project management and team collaboration, whereas the Intern Data Scientist concentrates on technical data work.

More about Intern Ai Manager jobs
What cities are hiring for Intern Ai Manager jobs? Cities with the most Intern Ai Manager job openings:
What are the most commonly searched types of Ai Manager jobs? The most popular types of Ai Manager jobs are:
What states have the most Intern Ai Manager jobs? States with the most job openings for Intern Ai Manager jobs include:
Infographic showing various Intern Ai Manager job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

$32 - $40/hr

Other

Posted 24 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

46th of 221 rated it services


Job description

Overview

The AI Engineer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of emerging Artificial General Intelligence. It is designed to support improvements in healthcare treatment, payment, and operations. The intern will support multiple projects to set up the underlying architecture, such as context layer for data agents, setting up guardrails and governance.    

We are currently looking for interns who can start immediately, 12 week internship, and work 40 hours per week. 

Responsibilities

Technical Expertise

  • SQL fundamentals - comfortable writing queries against structured data, not just describing them

  • Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level familiarity with one orchestration framework (LangChain, LlamaIndex, or similar)

  • Git basics - comfortable with branching and reviewing code as part of a team workflow

  • Ability to reason about data quality, duplication, and freshness

  • Fetch and ingest data from live external sources (APIs and web sources) into a structured pipeline - handling formats, rate limits, and failures, not just calling a pre-built connector

  • Design and build the schema and storage layer your pipeline writes to, in collaboration with data engineering

  • Build and test AI components - embeddings, retrieval logic, prompts - using established patterns and tools

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills. 
  • Complete all responsibilities and goals outlined in the internship program. 
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 6/18/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/18/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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