2

Entry Level Ai Coding Trainer Jobs (NOW HIRING)

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

Be Seen First

Robotics/AI/Coding Tutor

Tenafly, NJ ยท On-site

$30 - $50/hr

Its platform delivers personalized, game-based cognitive training to enhance problem-solving ... Robotics / AI startups * Graduate school applications * Potential for long-term role or program ...

New

Urgent

Showing results 21-40

Entry Level Ai Coding Trainer information

See salary details

$13

$31

$63

How much do entry level ai coding trainer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entry level ai coding 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 are the most commonly searched types of Ai Coding Trainer jobs?

The most popular types of Ai Coding Trainer jobs are:

What other helpful pages are available for Entry Level Ai Coding Trainer?

Other pages related to Entry Level Ai Coding Trainer:

AI coding agents Expert - Remote

Boston, MA โ€ข Remote

$80 - $120/hr

Full-time

Posted 14 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.