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Remote Reinforcement Learning Jobs (NOW HIRING)

micro1 AI

Software Engineer - AI Trainer

Washington, DC · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

Software Engineer - AI Trainer

Indianapolis, IN · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

AI Code Evaluator - SecOps & Systems

Austin, TX · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

AI Code Evaluator - SecOps & Systems

Miami, FL · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

AI Code Evaluator - SecOps & Systems

Tampa, FL · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

Software Engineer - AI Trainer

Tulsa, OK · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

Software Engineer - AI Trainer

Denver, CO · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

AI Software Engineering Consultant

Tucson, AZ · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

micro1 AI

Software Engineer - AI Trainer

Raleigh, NC · Remote

$40 - $75/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... On this project, you will be creating Reinforcement Learning Environments which test an AI model ...

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All JobsRemote Reinforcement Learning Jobs

Remote Reinforcement Learning information

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$11K

$83.9K

$140K

How much do remote reinforcement learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote reinforcement learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a Remote Reinforcement Learning job?

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, and why are they important?

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 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 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.
More about Remote Reinforcement Learning jobs
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Remote Reinforcement Learning jobs near you
AI Software Engineering Consultant

AI Software Engineering Consultant

micro1 AI

Philadelphia, PA • Remote

$40 - $75/hr

Part-time

Posted 24 days ago

Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:


We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.


Required Skills and Qualifications:


  1. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
  3. A Cybersecurity/SecOps background or exposure is highly preferred
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.


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