2

Remote Ai Model Training Jobs in Utah (NOW HIRING)

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Private Funds Attorney - Remote

Provo, UT ยท Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

next page

Showing results 1-20

Remote Ai Model Training information

What is the difference between Remote Ai Model Training vs Remote Data Scientist?

AspectRemote Ai Model TrainingRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentFocus on developing and training AI models, often with coding and data preprocessingData analysis, modeling, and interpretation, often involving visualization and reporting
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

Remote Ai Model Training involves developing and refining AI models through coding and data processing, while Remote Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills but differ in focus and daily tasks.

Can I get paid to train AI models?

Yes, remote AI model training jobs often pay individuals to label data, fine-tune models, or develop training datasets. These roles typically require skills in machine learning, data annotation tools, and sometimes programming, and they can be part-time or full-time positions with flexible schedules.

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

To thrive in Remote AI Model Training, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data labeling tools is typically required. Strong attention to detail, self-motivation, and effective communication are vital soft skills for working independently and collaborating virtually. These competencies ensure accurate model development, efficient workflow, and successful teamwork in a remote environment.

How much do AI model trainers make?

AI model trainers typically earn between $50,000 and $120,000 annually, depending on experience, location, and the complexity of models they work with. Entry-level positions may start lower, while experienced trainers with specialized skills or certifications can earn higher salaries, especially in tech hubs or large organizations.

Are there remote jobs to train AI?

Remote AI model training jobs are available and involve tasks such as data labeling, model fine-tuning, and algorithm development. These roles often require skills in programming, machine learning frameworks, and data management, and can be performed from home with the right technical setup.

How can I make 2000 a week working from home?

Remote AI model training jobs can pay between $1,000 and $3,000 per week depending on experience, project complexity, and workload. To reach $2,000 weekly, professionals often need strong skills in machine learning, data annotation, and familiarity with tools like Python and TensorFlow, along with consistent project availability and quality work.

What are some common challenges faced by professionals in remote AI model training roles, and how can they be addressed?

Professionals in remote AI model training often face challenges such as coordinating across time zones, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it's important to establish clear communication channels, leverage secure data-sharing platforms, and participate in regular virtual meetings. Additionally, setting structured working hours and documenting processes can help ensure smooth collaboration and project progress, even when team members are distributed globally.

What is remote AI model training?

Remote AI model training refers to the process of developing and refining artificial intelligence models from a location outside of a traditional office or lab setting, typically via cloud-based platforms. AI professionals use remote access to powerful computing resources to train machine learning models on large datasets, collaborating with teams and managing workflows online. This approach allows flexibility, access to scalable resources, and the ability to work with global teams, making it increasingly popular in the tech industry.
What are popular job titles related to Remote Ai Model Training jobs in Utah? For Remote Ai Model Training jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Ai Model Training jobs in Utah look for? The top searched job categories for Remote Ai Model Training jobs in Utah are:
What cities in Utah are hiring for Remote Ai Model Training jobs? Cities in Utah with the most Remote Ai Model Training job openings:
Infographic showing various Remote Ai Model Training job openings in Utah as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
M&A Attorney - AI Trainer - Remote

M&A Attorney - AI Trainer - Remote

micro1 AI

Provo, UT โ€ข Remote

$90 - $130/hr

Part-time

Posted 26 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.