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Remote Ai Jobs in Indiana (NOW HIRING)

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and ...

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Showing results 1-20

Remote Ai information

See Indiana salary details

$79.5K

$120.9K

$162.7K

How much do remote ai jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote ai in Indiana is $120,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the 30% rule for AI?

The 30% rule in AI typically refers to the guideline that no more than 30% of a dataset should be used for training to prevent overfitting and ensure model generalization. For AI professionals, understanding data splitting, validation, and model evaluation is essential to apply this rule effectively in developing reliable AI systems.

What are common challenges faced by Remote AI Engineers, and how do teams typically address them?

Remote AI Engineers often encounter challenges such as collaborating across time zones, communicating complex technical concepts virtually, and maintaining alignment with rapidly evolving project goals. Companies usually address these by leveraging robust project management tools, scheduling regular virtual meetings, and encouraging active participation through collaborative platforms like Slack or GitHub. Teams may also implement documentation best practices and mentorship programs to foster skill sharing and support remote integration. With access to virtual collaboration resources and clear processes, remote engineers are empowered to contribute effectively and stay aligned with team objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning engineers, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, and they tend to be found in large tech companies or innovative startups. Compensation at this level reflects the complexity and impact of the work, as well as the demand for top AI talent.

How can I make 2000 a week working from home?

Remote AI roles, such as AI developer or data scientist, can offer high earning potential, especially with specialized skills in machine learning, programming, and data analysis. To reach $2000 weekly, professionals often need advanced expertise, a strong portfolio, and may work as freelancers or in contract positions, which can provide flexible schedules and higher pay rates.

What is a Remote AI job?

A Remote AI job refers to a position where professionals work on artificial intelligence projects from a remote location. These roles can include machine learning engineers, data scientists, AI researchers, and software developers who build, improve, and maintain AI models and systems. Remote AI jobs allow professionals to collaborate online, using cloud-based tools and communication platforms to develop intelligent solutions for various industries.

What AI jobs can be done remotely?

Remote AI jobs include roles such as AI software engineer, machine learning engineer, data scientist, and AI research scientist. These positions often require skills in programming, data analysis, and familiarity with AI frameworks, and can be performed from home with the right technical setup and internet connection.

What are the key skills and qualifications needed to thrive in the Remote Ai position, and why are they important?

To thrive as a Remote AI Engineer, you need expertise in machine learning, data analysis, and proficiency in programming languages like Python or R, supported by a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch and familiarity with cloud platforms (AWS, Azure, or Google Cloud) are commonly required, and certifications can add value. Excellent communication, self-motivation, and time-management skills are crucial for collaborating effectively in a distributed team environment. These skills ensure you can develop, deploy, and maintain AI solutions efficiently while working remotely with cross-functional teams.

What are the most commonly searched types of Ai jobs in Indiana? The most popular types of Ai jobs in Indiana are:
What cities in Indiana are hiring for Remote Ai jobs? Cities in Indiana with the most Remote Ai job openings:
Infographic showing various Remote Ai job openings in Indiana as of July 2026, with employment types broken down into 79% Full Time, 5% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,878 per year, or $58.1 per hour.
Business Document AI Trainer - Remote

Business Document AI Trainer - Remote

micro1 AI

Indianapolis, IN โ€ข Remote

$35 - $50/hr

Part-time

Posted 16 days ago


Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Wordโ€”creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.