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Remote Reinforcement Learning Jobs in Surprise, AZ

YO AI Labs

Machine Learning Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

Backend Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

Backend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI Technical Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

RL Environment Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

AI coding agents Expert - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

YO AI Labs

SWE AI Training Data Expert - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

New

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Remote Reinforcement Learning information

See Surprise, AZ salary details

$10.7K

$81.3K

$135.7K

How much do remote reinforcement learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote reinforcement learning in Surprise, AZ is $81,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a remote reinforcement learning?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a remote reinforcement learning engineer?

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

What are common challenges faced when working remotely in a reinforcement learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.

What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What cities near Surprise, AZ are hiring for Remote Reinforcement Learning jobs?

Cities near Surprise, AZ with the most Remote Reinforcement Learning job openings:

Remote Reinforcement Learning jobs near you

Machine Learning Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 2 days ago

New

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.