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Remote Ai Training Jobs in Indiana (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

South Bend, IN · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Private Funds Attorney - Remote

Fort Wayne, IN · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

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How much do remote ai training jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote ai training in Indiana is $40.17, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $51.25 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a Remote AI Training position and how can they be addressed?

One common challenge in Remote AI Training roles is maintaining consistent data quality while managing repetitive tasks independently. To address this, professionals use standardized guidelines, periodic feedback sessions, and collaborative review processes. Remote work also requires strong self-motivation and regular communication with team members to resolve ambiguities or receive updates on project requirements. Employers often provide training sessions and set up digital tools to keep collaboration smooth, ensuring productivity and accuracy across distributed teams.

What is a Remote AI Training job?

A Remote AI Training job involves labeling, annotating, and evaluating data to help improve machine learning models. Workers in this role often review AI-generated responses, assess accuracy, and provide feedback to enhance AI performance. The job is typically done online and requires attention to detail, critical thinking, and familiarity with AI tools. Many companies hire remote AI trainers to refine chatbots, search engines, and other AI-driven applications.

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

To thrive in Remote AI Training, you need a solid understanding of machine learning concepts, data annotation techniques, and attention to detail, often supported by relevant coursework or experience in data science or computer science. Familiarity with labeling platforms, data management tools, and sometimes certification in AI-related fields is typically expected. Strong communication, time management, and the ability to work independently are vital soft skills in this remote setting. These skills ensure high-quality, accurate training data for AI models while maintaining productivity and collaboration with distributed teams.

What are the most commonly searched types of Ai Training jobs in Indiana? The most popular types of Ai Training jobs in Indiana are:
What are popular job titles related to Remote Ai Training jobs in Indiana? For Remote Ai Training jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Ai Training jobs in Indiana look for? The top searched job categories for Remote Ai Training jobs in Indiana are:
What cities in Indiana are hiring for Remote Ai Training jobs? Cities in Indiana with the most Remote Ai Training job openings:
Remote Ai Training jobs near you
Infographic showing various Remote Ai Training job openings in Indiana as of July 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,547 per year, or $40.2 per hour.
M&A Attorney - AI Trainer - Remote

M&A Attorney - AI Trainer - Remote

micro1 AI

Fort Wayne, IN • Remote

$90 - $130/hr

Part-time

Posted 19 days ago

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: 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 applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Apply