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Remote Ai Mathematics Trainer Jobs (NOW HIRING)

AI Trainer - Remote

Boston, MA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ... Bachelor's degree in a CS, AI, Mathematics, or Statistics field Nice If You Have: * Experience in ...

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... NIST AI Framework training or certification. * Residency in Colorado is preferred. Join us to shape ...

Evaluate, refine, or create AI training content to boost model performance * Tackle intellectually ... Fully remote and flexible work--you control when and how much you work * A collaborative and global ...

$65/hr

Job title: Mathematics Specialist (Fluent in Dutch) - AI Trainer Employment type: Contract ... Remote Seniority level: MidSenior Level

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Remote Ai Mathematics Trainer information

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$13

$31

$63

How much do remote ai mathematics trainer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote ai mathematics trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a remote AI mathematics trainer?

A Remote AI Mathematics Trainer is a professional who works remotely to train, evaluate, or improve artificial intelligence models in the field of mathematics. This role often involves creating or reviewing mathematical problems, verifying AI-generated solutions, and providing expert feedback to enhance the model’s accuracy. These trainers typically have a strong background in mathematics or related disciplines and use specialized platforms to interact with AI systems. The position combines expertise in mathematics with familiarity with AI technology, and allows professionals to work from home or any location with internet access.

What skills and qualifications are needed to thrive as a remote AI mathematics trainer?

To thrive as a Remote AI Mathematics Trainer, you need strong mathematical expertise, experience in curriculum development or teaching, and a background in computer science or AI concepts, often supported by a relevant degree. Familiarity with e-learning platforms, programming languages (such as Python), and AI frameworks like TensorFlow or PyTorch is typically expected. Excellent communication, adaptability, and the ability to convey complex concepts simply are standout soft skills in this role. These skills ensure effective training delivery and help bridge the gap between advanced mathematics and AI technology for diverse learners.

What are common challenges faced by remote AI mathematics trainers, and how can they be addressed?

Remote AI Mathematics Trainers often encounter challenges such as ensuring effective communication with both AI development teams and learners, maintaining engagement in a virtual setting, and keeping up with rapidly evolving AI technologies. To address these, trainers benefit from using collaborative tools, setting clear learning objectives, and staying updated through continuous professional development. Building strong virtual rapport and leveraging interactive platforms can also enhance both trainer effectiveness and learner outcomes.

What is the difference between Remote Ai Mathematics Trainer vs Remote Data Scientist?

AspectRemote Ai Mathematics TrainerRemote Data Scientist
Required CredentialsMathematics or AI certifications, teaching credentialsData analysis, machine learning, programming certifications
Work EnvironmentOnline teaching platforms, educational institutionsResearch labs, tech companies, consulting firms
Industry UsageEducation, e-learning, AI trainingTechnology, finance, healthcare, research

Remote Ai Mathematics Trainers focus on teaching AI concepts and mathematics to learners, often in educational settings. In contrast, Remote Data Scientists analyze data, develop models, and apply AI techniques in various industries. While both roles require strong technical skills, their primary functions and work environments differ significantly.

More about Remote Ai Mathematics Trainer jobs

What cities are hiring for Remote Ai Mathematics Trainer jobs?

Cities with the most Remote Ai Mathematics Trainer job openings:

What are the most commonly searched types of Ai Mathematics Trainer jobs?

The most popular types of Ai Mathematics Trainer jobs are:

What states have the most Remote Ai Mathematics Trainer jobs?

States with the most job openings for Remote Ai Mathematics Trainer jobs include:

Infographic showing various Remote Ai Mathematics Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Trainer - Remote

YO AI Labs

Boston, MA • Remote

$80 - $120/hr

Full-time

Posted 9 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.