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Remote Ai Data Rater Jobs in Orem, UT (NOW HIRING)

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Research advanced modeling and AI techniques to improve predictive modeling and maintain business ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

FP&A Manager - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Showing results 21-40

Remote Ai Data Rater information

See Orem, UT salary details

$8

$51

$72

How much do remote ai data rater jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote ai data rater in Orem, UT is $51.04, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $59.33 per hour, depending on experience, location, and employer.

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

What skills and qualifications are needed to be a remote AI data rater?

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What challenges do remote AI data raters face and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What is a remote AI data rater?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.
What are the most commonly searched types of Ai Data Rater jobs in Orem, UT? The most popular types of Ai Data Rater jobs in Orem, UT are:
What job categories do people searching Remote Ai Data Rater jobs in Orem, UT look for? The top searched job categories for Remote Ai Data Rater jobs in Orem, UT are:
Infographic showing various Remote Ai Data Rater job openings in Orem, UT as of August 2026, with employment types broken down into 42% Full Time, 47% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,170 per year, or $51 per hour.

Corporate Counsel (Tech & Privacy) - Remote

micro1 AI

Provo, UT • Remote

$90 - $130/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional 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 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  4. Exceptional written and verbal communication skills with meticulous attention to detail.
  5. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  6. Demonstrated commitment to innovation at the intersection of law and technology.
  7. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for 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.