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Internship Ai Operator Jobs (NOW HIRING)

NeoGenomics has an opening for an AI Finance Innovation Intern who wants to continue to learn in ... step operating instructions. * Maintain a solution log throughout the internship that captures ...

AI Finance Innovation Intern

Carlsbad, CA · On-site

$18.50 - $24/hr

NeoGenomics has an opening for an AI Finance Innovation Intern who wants to continue to learn in ... step operating instructions. * Maintain a solution log throughout the internship that captures ...

AI Marketer Intern - USA

$15.25 - $20.50/hr

AI Marketer Intern Internship • Remote or Hybrid • Summer / Fall 2026 At WeSuite, a Fluent ... Mentorship from operators who've built and scaled B2B software businesses * Entrepreneurial Energy

$14 - $18.50/hr

AI Marketer Intern Internship • Remote or Hybrid • Summer / Fall 2026 At WeSuite, a Fluent ... Mentorship from operators who've built and scaled B2B software businesses * Entrepreneurial Energy:

Operations AI Intern

Columbus, OH · On-site

$14.50 - $19/hr

By the end of the internship, your work will be actively used by the business. What You'll Do ... Hands-on experience implementing AI in a real operating business * Direct exposure to company ...

Interns will collaborate with the BDR team, Account Executives, Customer Success, and our AI ... operating playbook * Stay current on AI capabilities and bring new ideas on how Everstream can ...

We think in decades, not quarters - and as seasoned operators and true partners, we roll up our ... internships or early career roles. * Hands-on experience building with modern AI tooling - LLMs ...

You will build, lead, and mentor a team of applied researchers and interns, fostering a culture of ... Experience operating in high-growth startup environments. For California applicants, the pay for ...

TIFIN is a company that builds the AI operating layer for wealth, delivering workflows for ... internships and academic projects count). • Foundational supervised learning knowledge and ...

We think in decades, not quarters - and as seasoned operators and true partners, we roll up our ... internships or early career roles. * Hands-on experience building with modern AI tooling - LLMs ...

Senior Applied AI Engineer

$107K - $146.90K/yr

Required : • 5+ years of non-internship experience in software engineering and applied AI/ML ... operating within modern cloud platforms (e.g., AWS). • Deep, hands-on experience deploying ...

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Internship Ai Operator information

What are the key skills and qualifications needed to thrive as an Internship AI Operator, and why are they important?

To thrive as an Internship AI Operator, you need foundational knowledge in computer science, data analysis, and machine learning concepts, often demonstrated through relevant coursework or academic projects. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and basic data management tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and contribute to project goals. These skills ensure you can efficiently support AI model development, testing, and deployment in a dynamic technical environment.

What are some common challenges faced by Internship AI Operators, and how can they be overcome?

Internship AI Operators often face challenges such as adapting to rapidly evolving technologies, understanding complex data sets, and bridging the gap between theoretical knowledge and practical application. To overcome these, it's helpful to actively seek mentorship from experienced team members, participate in regular team meetings to stay updated on project goals, and utilize available learning resources to strengthen both technical and soft skills. Embracing a collaborative mindset and being open to feedback also play key roles in navigating the learning curve and contributing effectively to AI projects.

What are Internship AI Operators?

Internship AI Operators are interns who assist in operating and managing artificial intelligence (AI) systems within an organization. They typically support tasks such as data preparation, monitoring AI model performance, assisting with machine learning experiments, and helping to deploy AI solutions. This role is designed for students or recent graduates who want hands-on experience in the AI field and often work under the supervision of experienced data scientists or AI engineers. Internship AI Operators gain practical knowledge of AI tools, programming languages, and workflows, preparing them for future careers in artificial intelligence.

What is the difference between Internship Ai Operator vs Data Analyst?

AspectInternship Ai OperatorData Analyst
Required CredentialsBasic understanding of AI tools, possibly some coursework or certificationsDegree in data science, statistics, or related field; certifications preferred
Work EnvironmentInternship setting, often in tech or AI companiesOffice or remote, in various industries like finance, healthcare, marketing
Employer & Industry UsageStartups, tech firms, AI-focused companiesBroadly used across industries including finance, healthcare, marketing

While both roles involve working with data and AI tools, an Internship Ai Operator typically focuses on assisting with AI model operations under supervision, whereas a Data Analyst analyzes data to generate insights. The internship provides hands-on experience in AI-specific tasks, making it ideal for those starting in AI careers. Data Analysts often have more advanced credentials and work on broader data projects across various industries.

What cities are hiring for Internship Ai Operator jobs? Cities with the most Internship Ai Operator job openings:
What are the most commonly searched types of Ai Operator jobs? The most popular types of Ai Operator jobs are:
What states have the most Internship Ai Operator jobs? States with the most job openings for Internship Ai Operator jobs include:
AI Finance Innovation Intern

AI Finance Innovation Intern

NeoGenomics Laboratories

Fort Myers, FL • On-site

$16.50 - $21.75/hr

Internship

Posted yesterday


NeoGenomics rating

7.9

Company rating: 7.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

40th of 103 rated laboratories


Job description

Description
NeoGenomics has an opening for an AI Finance Innovation Intern who wants to continue to learn in order to allow our company to grow. This position is onsite in Fort Myers or SoCal (Aliso Viejo or Carlsbad) offices.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
NeoGenomics has made the decision to bring AI into its Finance operations. This role exists to help execute the vision. NeoGenomics has identified a set of priority use cases where AI can meaningfully improve how our Finance function operates reducing manual work, improving analytical quality, and freeing capacity for higher-value decision support. We are looking for an intern to implement them.
You will arrive with a defined scope and a real objective: build AI-enabled solutions against identified opportunities, integrate them into active Finance workflows, and ensure the team is equipped to use and sustain them after you leave. This requires technical capability, financial literacy, and the interpersonal judgment to drive adoption in a team that did not design the solution.
You will work within an established compliance framework, with guidance from finance leadership on the auditability, data integrity, and internal control standards that apply to each solution. Governance is built into how we work and you will be supported in understanding what that means in practice.
Core Responsibilities:
Onboarding and Context
  • Develop a working understanding of the Finance workflows associated with each assigned use case, including data sources, process steps, decision points, and current pain points, through direct observation and structured conversations with the team.
  • Review the use case briefs prepared by finance leadership, ask clarifying questions, and align with your manager on scope, success criteria, and delivery milestones before moving into build.

Solution Build and Integration
  • Design and build AI-enabled solutions for each assigned use case, applying appropriate tools and techniques to the specific workflow being improved.
  • Ensure each solution is integrated into the team's active workflow not delivered as a standalone artifact with clear handoffs to the analysts and business partners who will use it day to day.
  • Build with auditability and internal controls in mind from the start; solutions must maintain data integrity, produce reproducible outputs, and meet any SOX compliance requirements applicable to the relevant process.
  • Conduct structured testing against real Finance data and scenarios, identify failure modes, and iterate until the solution performs reliably under conditions the team will actually encounter.

Documentation
  • Produce clear, complete documentation for each implemented solution, written for who will maintain the solution covering inputs, logic, outputs, known limitations, and step-by-step operating instructions.
  • Maintain a solution log throughout the internship that captures design decisions, iterations, and lessons learned creating an institutional record that survives beyond the internship itself.

Adoption and Enablement
  • Partner with the analysts and business partners who will own each solution after your internship ends, ensuring they understand how it works, when to use it, and how to identify when something has gone wrong.
  • Conduct working sessions or training as needed to build comfort and confidence with each solution among the relevant users, addressing questions and concerns directly rather than through written documentation alone.
  • Gather end-user feedback throughout implementation and use it to improve solutions before the internship ends.
  • Present a final summary to finance leadership at the conclusion of the internship, covering what was built, what was adopted, and any recommendations for continued development.

Experience, Education and Qualifications:
Required:
  • Currently enrolled in an undergraduate or graduate program in Finance, Accounting, Information Systems, Business Analytics, or a related field
  • Demonstrated experience building with AI tools in an applied context coursework, independent projects, or prior work experience all count
  • Ability to work within a defined scope and deliver against milestones in a structured, time-bound environment
  • Proficiency in Excel and comfort working with financial and quantitative data
  • Strong communication and interpersonal skills; able to explain how a solution works to someone who did not build it and to earn adoption from business partners who are accustomed to doing things differently
  • High attention to detail and a personal standard for output quality consistent with a regulated, audit-facing environment

Preferred:
  • Prior internship or work experience in a finance, accounting, or analytical role
  • Familiarity with internal controls, SOX compliance, or financial data governance in a corporate environment
  • Experience building solutions that other people use in any context, technical or otherwise
  • Proficiency in SQL, Python, Tableau or comparable analytical tools
  • Prior experience writing technical documentation for a non-technical audience

What You Will Gain:
  • Demonstrated history of delivering results you will contribute implemented solutions actively utilized by a publicly traded company, rather than providing only presentation materials or prototypes.
  • Deep, practical experience with AI implementation inside the governance constraints that enterprise environments impose, including auditability, data integrity, and compliance requirements most early-career professionals never encounter.
  • Hands-on experience driving adoption the organizational skill of making something new stick which is consistently harder than building the solution itself and consistently more valuable on a resume.
  • Executive visibility: your final presentation will be delivered to finance leadership, and your work will be evaluated on whether it is still in use after you leave, not on how it looked in a demo.
  • A substantive portfolio of documented, real-world AI implementations with concrete business context to speak to in future interviews

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
Pay Range (will vary based on location & experience) $22-$33/hr
In all instances, the salary paid will satisfy minimum salary laws.

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