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Remote Ai Math Trainer Jobs in Lafayette, CA (NOW HIRING)

YO AI Labs

AI Trainer - Remote

San Francisco, CA · 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 ...

YO AI Labs

Mathematics Expert - Remote

San Francisco, CA · Remote

$80 - $90/hr

Remote Job Overview We are seeking experienced Mathematics Experts to support an AI-focused project ... Contribute high-quality mathematical content for AI training and evaluation. * Communicate complex ...

YO AI Labs

AI Technical Trainer - Remote

San Francisco, CA · 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 ...

Turing

Mathematics Specialist

San Francisco, CA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with ... Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction ...

New

YO AI Labs

Legal AI Trainer - Remote

San Francisco, CA · Remote

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

YO AI Labs

Personal Trainer - Remote

San Francisco, CA · Remote

$25 - $40/hr

Personal Trainer Role Type: Contractor Location: Remote Job Overview We are seeking experienced ... No prior AI experience is required--your fitness expertise and professional judgment are what ...

YO AI Labs

AI Engineer - Remote

San Francisco, CA · 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 ...

YO AI Labs

AI Software Engineer - Remote

San Francisco, CA · 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 ...

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

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Remote Ai Math Trainer information

See Lafayette, CA salary details

$15

$28

$41

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

As of Sep 3, 2026, the average hourly pay for remote ai math trainer in Lafayette, CA is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $30.58 per hour, depending on experience, location, and employer.

What job categories do people searching Remote Ai Math Trainer jobs in Lafayette, CA look for?

The top searched job categories for Remote Ai Math Trainer jobs in Lafayette, CA are:

What cities near Lafayette, CA are hiring for Remote Ai Math Trainer jobs?

Cities near Lafayette, CA with the most Remote Ai Math Trainer job openings:

Remote Ai Math Trainer jobs near you
Infographic showing various Remote Ai Math Trainer job openings in Lafayette, CA as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $59,493 per year, or $28.6 per hour.

AI Trainer - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 7 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.