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Remote Training Ai Models Jobs in Utah (NOW HIRING)

micro1 AI

M&A Attorney - AI Trainer - Remote

Provo, UT · 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. * Experience working with private equity ...

micro1 AI

Investment Management Counsel - Remote

Provo, UT · 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 ...

micro1 AI

Private Funds Attorney - Remote

Saint George, UT · 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 ...

micro1 AI

Private Funds Attorney - Remote

West Jordan, UT · 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 ...

micro1 AI

Private Funds Attorney - Remote

Provo, UT · 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 ...

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Remote Training Ai Models information

What does it mean to work in remote training of AI models?

Working in remote training of AI models involves creating, refining, and improving artificial intelligence systems from a remote location. This typically includes tasks like labeling data, reviewing machine learning outputs, or providing feedback on model accuracy. Remote AI trainers often use specialized tools or platforms to help teach models how to interpret data, such as images, text, or audio. The work can be done from anywhere with an internet connection, making it flexible for many people. These roles are essential for ensuring AI systems learn correctly and perform well in real-world scenarios.

What are some common challenges faced when working remotely to train AI models, and how can they be overcome?

One of the main challenges in remote AI model training roles is maintaining clear communication with teams across different time zones and ensuring alignment on project goals. Additionally, remote data security and managing large datasets can be complex without in-person collaboration. To overcome these challenges, it's helpful to establish regular video check-ins, use project management tools, and follow secure data-sharing protocols. Cultivating proactive communication and staying organized can help remote AI trainers stay productive and connected with their teams.

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

To thrive as a Remote AI Model Trainer, you need strong analytical skills, attention to detail, and familiarity with data annotation or labeling, often supported by a background in computer science or a related field. Experience with data management tools, annotation platforms, and sometimes basic programming (such as Python) is typically required. Clear communication, reliability, and the ability to work independently are standout soft skills in this remote role. These abilities ensure high-quality data preparation, which is critical for developing accurate and effective AI models.

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

AspectRemote Training Ai ModelsData Scientist
Required CredentialsKnowledge of AI/ML frameworks, programming skills, understanding of data preprocessingStatistics, programming, data analysis, often a degree in related fields
Work EnvironmentRemote, collaborative with AI/ML teams, cloud platformsRemote or on-site, research-focused, cross-industry
Industry UsageAI development, machine learning model training, deploymentData analysis, predictive modeling, business insights

Remote Training Ai Models primarily focus on developing and training machine learning models remotely, often requiring programming and AI-specific skills. Data Scientists analyze data to generate insights and build models, with a broader focus on data analysis. While both roles may work remotely and require technical expertise, Remote Training Ai Models are specialized in AI model training, whereas Data Scientists have a wider scope in data analysis and interpretation.

What cities in Utah are hiring for Remote Training Ai Models jobs? Cities in Utah with the most Remote Training Ai Models job openings:
Remote Training Ai Models jobs near you
M&A Attorney - AI Trainer - Remote

M&A Attorney - AI Trainer - Remote

micro1 AI

Provo, UT • Remote

$90 - $130/hr

Part-time

Posted 27 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