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Remote Generative Ai Jobs in Indiana (NOW HIRING)

$14.75 - $19.75/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)

$15 - $20/hr

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

$14.25 - $19/hr

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

$14.25 - $19/hr

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

$14.25 - $19/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 ...

Remote Generative Ai information

What are some 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 are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

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.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

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.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

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 are popular job titles related to Remote Generative Ai jobs in Indiana? For Remote Generative Ai jobs in Indiana, the most frequently searched job titles 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 July 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution.
Artificial Intelligence (AI) Internship - Hybrid Remote

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Posted 15 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.