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Entry Level Large Language Model Llm Jobs in Indiana

Tata Consultancy Service Limited

AI Architect

Kokomo, IN · On-site

$100K - $160K/yr

You will work on exciting projects involving Large Language Models (LLMs) and help us build the next generation of intelligent products. This role is perfect for a passionate engineer who is eager to ...

MedPro Group

AI Specialist

Fort Wayne, IN · On-site

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM ... Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework ...

Varsity Tutors

ChatGPT Tutor

Indianapolis, IN · Remote

$40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Bloomington, IN · Remote

$40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Valparaiso, IN · Remote

$40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Fort Wayne, IN · Remote

$40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

West Lafayette, IN · Remote

$40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

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All JobsEntry Level Large Language Model Llm JobsEntry Level Large Language Model Llm Jobs in Indiana

Entry Level Large Language Model Llm information

Which 3 jobs will survive AI?

Entry Level Large Language Model roles are likely to persist in fields requiring human oversight, creativity, and complex problem-solving, such as AI ethics specialists, data annotation professionals, and AI trainers. These jobs involve tasks that complement AI systems and require critical thinking, domain expertise, and interpersonal skills that AI cannot fully replicate. Continuous learning and technical understanding will enhance job security in these areas.

What is an Entry Level Large Language Model (LLM) role?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What job makes $10,000 a month without a degree?

Entry-level roles in large language model development or AI-related fields can potentially pay $10,000 or more per month, especially for those with strong technical skills in machine learning, programming, and data analysis. High-paying positions often require expertise in AI tools, coding languages like Python, and experience with cloud computing platforms, even if a formal degree is not mandatory.

What are the key skills and qualifications needed to thrive as an Entry Level Large Language Model (LLM) Engineer, and why are they important?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in large language models, data science, and deep learning. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity components in tech companies.

What types of projects do entry-level professionals working with Large Language Models (LLMs) typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What profession makes $400,000 a year?

In the field of artificial intelligence, senior roles such as Machine Learning Engineers or AI Research Directors working on large language models can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, specialized knowledge of deep learning frameworks, and a strong track record of project success.
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Entry Level Large Language Model Llm jobs near you
Summer 2027 Intern - Software Engineer

Summer 2027 Intern - Software Engineer

Salesforce, Inc.

Indianapolis, IN • On-site

$52/hr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

102nd of 191 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category

Fixed Term & Temporary

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview of the Role:

The Futureforce Tech Accelerator is Salesforce's premier early hiring event providing a fast track to interviews for Summer 2027 Software Engineering Internships.

As a Futureforce intern, you'll collaborate with world-class engineering teams on real-world projects that impact millions of people worldwide - while building meaningful connections and experiencing Salesforce's vibrant culture firsthand.

About the Program:

The application deadline is May 31. Spots are limited, and applications will be reviewed on a rolling basis - we encourage you to apply early. Selected applicants will be invited to complete a HackerRank technical assessment.

Candidates who advance through the interview process and are approved to receive an offer will be invited to an all-expense-paid, in-person mandatory experience at Salesforce headquarters in San Francisco from July 22-24, 2026.

This Futureforce Tech Accelerator on-site experience previews life at Salesforce through career development, networking with engineering leaders and former interns, and an immersive look into the company's culture and your future career.

Important: Candidates must be available to attend all on-site programming from July 22-24, 2026. Preference will be given to candidates who can attend the full in-person experience.

We look forward to receiving your application!

Internships

If selected through Futureforce Tech Accelerator, you'll have the opportunity to join Salesforce as a Summer 2027 Software Engineering intern.

Internships are open to current university students actively pursuing a degree with a projected graduation date of December 2027 or later.

What You Will Be Doing

As an intern at Salesforce, you'll influence the future of our products, platform, and AI-powered experiences. You'll receive mentorship from experienced engineers while contributing to solutions - including the agentic technologies redefining how people work - that impact millions around the world. Beyond project work, you'll have access to professional and personal growth opportunities, including:

  • Comprehensive onboarding

  • Engineering-specific training

  • Executive Speaker Series

  • Volunteer Time Off

  • Professional Development Workshops

  • Employee Resource Groups (ERGs)

  • Ongoing Recruiter Support

Required Qualifications

  • Enrolled and currently pursuing a BS in Computer Science or related technical field

  • Returning to school after Summer 2027 to complete your degree

  • Enrolled in a college or university in North America

  • Strong understanding of object-oriented programming/design, algorithms, and data structures and how to efficiently implement them into a solution

  • Hands-on experience or strong curiosity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) and an eagerness to integrate them into real-world engineering workflows.

  • A budding AI-first mindset - comfortable experimenting with prompting techniques and leveraging AI to learn across the stack, ramp up quickly, and contribute meaningfully from day one.

  • Strong understanding of CS fundamentals and practical coding application

  • Team player with demonstrated collaboration skills

Preferred Qualifications

  • Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools

  • Ability to to effectively guide AI tools to achieve desired outcomes

  • Experience using Copilot, Cursor, Claude Code, Gemini or other agent-based frameworks

  • Coursework in SQL and relational database concepts

  • Proficiency in Java, Javascript and related frameworks

  • Working knowledge of HTML and web technologies

  • Knowledge of front end and back end languages

  • Strong communication skills - written, verbal, and visual

  • Strong analytical and problem-solving skills

  • Commitment to delivering high-quality solutions

  • Self-motivated and eager to learn

  • Experience using telemetry and metrics to drive operational excellence

  • Ability to quickly adapt to new technologies

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $43 - $52 per hour. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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