2

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 ...

next page

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 1, 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 are popular job titles related to Remote Ai jobs in Indiana? For Remote Ai jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Ai jobs? Cities in Indiana with the most Remote Ai job openings:
Toxicology AI Content Reviewer - Remote

Toxicology AI Content Reviewer - Remote

micro1 AI

Indianapolis, IN โ€ข Remote

$50 - $90/hr

Part-time

Posted 2 days ago


Job description

Role Title: Chemical Safety & Toxicology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Chemical Safety & Toxicology Experts to contribute to a customerโ€™s project focused on enhancing chemical safety evaluation frameworks. 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. No prior experience in AI is required โ€” your domain knowledge is what matters. This opportunity is tailored for professionals with proven backgrounds in chemical weapons nonproliferation, hazardous materials, toxicology, and industrial chemistryโ€”especially those experienced with controlled-substance risks, regulatory protocols, or chemical-risk assessment. Strong communication skills, both written and verbal, are highly valued as you will provide nuanced insights and feedback throughout the engagement.


Scope of Work

  1. Analyze and evaluate data related to chemical safety, toxicological risk, precursor chemicals, and hazardous-substance scenarios.
  2. Review, annotate, and provide critical feedback on documents, datasets, and model outputs related to chemical weapons, toxicology, and hazardous materials.
  3. Contribute expert perspectives on nonproliferation standards, regulatory protocols, and safety operations for chemical handling and risk mitigation.
  4. Develop and refine guidelines for the assessment of chemical and toxicological hazards in realistic and hypothetical situations.
  5. Interpret and explain the implications of chemical interactions, exposure risks, and toxicity profiles for AI training purposes.
  6. Collaborate remotely with project coordinators, providing written and verbal clarifications or additional context as needed.
  7. Identify gaps or inaccuracies in content or model assessments pertaining to chemical safety and toxicology topics.


Preferred Qualifications

  1. Advanced degree (PhD, MD, JD, PsyD, or relevant masterโ€™s) in chemistry, toxicology, industrial hygiene, or closely related disciplines.
  2. Minimum 5 years of specialized experience in areas such as chemical weapons nonproliferation, hazardous materials handling, toxicological risk assessment, or chemical safety protocols.
  3. Experience as an independent consultant, policy advisor, response specialist, or safety officer in industry, government, or research settings.
  4. Expertise in controlled substances, precursor risk evaluation, or nonproliferation regulatory frameworks.
  5. Demonstrated ability to communicate complex technical information effectively in both written and verbal formats.
  6. Familiarity with standards for chemical safety, hazardous material management, or toxicology operations in high-stakes environments.
  7. Interest in supporting AI advancement through the application of domain expertise to new and emerging technology platforms.