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Remote Generative Ai Jobs in Indiana (NOW HIRING)

Crowe LLP

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 ...

Crowe LLP

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 ...

First American

Maintain familiarity with generative AI concepts, AI governance standards, workflow automation, and emerging AI capabilities. Cross-Functional Collaboration & Governance * Collaborate with operations ...

Circle

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

Circle

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

Circle

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

Circle

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

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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.

Which 3 jobs will survive AI?

For remote generative AI roles, jobs that require complex human judgment, creativity, and emotional intelligence are most likely to survive AI automation. These include roles like AI ethicists, creative professionals, and AI system trainers who need specialized skills, domain expertise, and critical thinking. Such jobs often involve oversight, nuanced decision-making, and interpersonal skills that are difficult for AI to replicate fully.

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 $900,000 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, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Can you work in AI remotely?

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

How can I make 2000 a week working from home?

Remote Generative AI roles can offer high earning potential through freelance projects, consulting, or full-time positions that pay based on project scope or hourly rates. Building specialized skills in AI, machine learning, and natural language processing, along with a strong portfolio and proficiency with tools like Python and TensorFlow, can help increase earning capacity to reach or exceed $2000 weekly. Consistent work, networking, and staying updated on industry demand are key factors in achieving this income level remotely.

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 job categories do people searching Remote Generative Ai jobs in Indiana look for? The top searched job categories for Remote 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:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Indiana as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. 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 21 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.

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