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Remote Generative Ai Jobs in Indiana (NOW HIRING)

$14.25 - $19/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

$14.75 - $19.50/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill ... US - Remote Reports to: Sr. Director of Defend Account Management Segment: Enterprise & Strategic ...

Remote Generative Ai information

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in Indiana? The most popular types of Generative Ai jobs in Indiana are:
What cities in Indiana are hiring for Remote Generative Ai jobs? Cities in Indiana with the most Remote Generative Ai job openings:
Infographic showing various Remote Generative Ai job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.
The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.
Position Summary
The AI Intern will support Hoosier Energy's efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards.
Key Responsibilities
  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy's AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables ("Human in the Loop").
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications
  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics
  • Must adhere to Hoosier Energy's AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.
Apply today to enhance your skills and take the next step in your professional development!
Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.