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Remote Ai Math Training Jobs in Utah (NOW HIRING)

Technical Trainer - Legal AI

Lehi, UT · On-site +1

$30.50 - $40.50/hr

Facilitate multi-day training programs (virtual and onsite) across global time zones with legal ... REMOTE #LI-HYBRID Equal Opportunity NetDocuments is an Equal Opportunity Employer and prohibits ...

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Remote Ai Math Training information

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

To thrive as a Remote AI Math Trainer, you need a strong background in mathematics, experience with machine learning concepts, and at least a bachelor’s degree in a related field. Familiarity with programming languages like Python, data annotation tools, and platforms such as TensorFlow or PyTorch is typically required. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills in this remote setting. These competencies ensure accurate training data, effective collaboration with AI development teams, and the delivery of high-quality AI models.

What are the main challenges faced by professionals working in remote AI math training roles, and how can they be overcome?

Professionals in remote AI math training often face challenges such as maintaining student engagement through virtual platforms, adapting teaching methods to suit diverse learning styles, and troubleshooting technical issues. To overcome these, it's important to utilize interactive tools, provide personalized feedback, and establish clear communication channels. Regular collaboration with fellow trainers and staying updated on the latest e-learning technologies can also help enhance the remote teaching experience and effectiveness.

What is a Remote AI Math Trainer?

A Remote AI Math Trainer is a professional who helps train and improve artificial intelligence (AI) models focused on mathematics by providing annotated data, creating math problems, analyzing AI outputs, and offering feedback—all from a remote location. This role often involves reviewing and correcting AI-generated math solutions to ensure accuracy and clarity. Remote AI Math Trainers may also contribute to developing educational tools and resources powered by AI, supporting advances in math learning technologies. The position is suitable for individuals with a strong foundation in mathematics and an interest in AI or machine learning.

What is the difference between Remote Ai Math Training vs Remote Math Tutor?

AspectRemote Ai Math TrainingRemote Math Tutor
CredentialsTypically requires knowledge of AI, machine learning, and mathUsually requires teaching credentials or math expertise
Work EnvironmentOnline, often involving AI platforms and toolsOnline or in-person, focusing on individual or group tutoring
Employer & IndustryEdTech companies, AI training platformsEducational institutions, private tutoring services
Search & Comparison IntentUnderstanding AI-focused math training rolesFinding traditional math tutoring opportunities

Remote Ai Math Training involves teaching math concepts integrated with AI tools and requires knowledge of AI and machine learning. In contrast, Remote Math Tutors focus on traditional math instruction, often requiring teaching credentials. Both roles are primarily online and serve educational purposes, but they differ in technical complexity and industry focus.

What are the most commonly searched types of Ai Math Training jobs in Utah? The most popular types of Ai Math Training jobs in Utah are:
What are popular job titles related to Remote Ai Math Training jobs in Utah? For Remote Ai Math Training jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Ai Math Training jobs? Cities in Utah with the most Remote Ai Math Training job openings:
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Salt Lake City, UT • On-site, Remote

$40/hr

Full-time

Posted 16 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr