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Remote Reinforcement Learning Jobs in Edison, NJ

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Preferred * Expertise in Reinforcement Learning (RL) . * Experience with Meta-Learning

New

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Netsurit US

Microsoft 365 & AI Trainer

New York, NY · Remote

$75K - $80K/yr

Remote | Client-facing Working Hours: Primarily aligned to US Eastern Time Location: US Regions ... Support recurring office hours, champion programs, learning challenges, and adoption reinforcement ...

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Remote Reinforcement Learning information

See Edison, NJ salary details

$11.4K

$86.8K

$144.9K

How much do remote reinforcement learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote reinforcement learning in Edison, NJ is $86,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $143,900.00 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 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.
What are the most commonly searched types of Reinforcement Learning jobs in Edison, NJ? The most popular types of Reinforcement Learning jobs in Edison, NJ are:
What are popular job titles related to Remote Reinforcement Learning jobs in Edison, NJ? For Remote Reinforcement Learning jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Edison, NJ look for? The top searched job categories for Remote Reinforcement Learning jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Reinforcement Learning jobs? Cities near Edison, NJ with the most Remote Reinforcement Learning job openings:
Remote Reinforcement Learning jobs near you

AI Research Scientist - Fully Remote | Upto $90/hr

Mercor

New York, NY • Remote

$90/hr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer — Model Evaluation & Experimentation
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities

  • Design tasks by transforming real ML research ideas into well-defined, multi-step tasks.
  • Run experiments by implementing changes, executing training experiments, and analyzing results to define correct solutions.
  • Explore reinforcement learning concepts such as reward functions and training behavior in task development.
  • Evaluate frontier models' performance on tasks and identify areas of improvement.
  • Collaborate with researchers to ensure tasks are consistent, rigorous, and fair.

Qualifications

Must-Have

  • MSc or PhD in machine learning, computer science, or a related STEM field.
  • 1+ years in a research or research-engineering role.
  • Experience in training and evaluating ML models and conducting end-to-end experiments.
  • Proficiency in Python and Git.
  • Strong understanding of large language models and their evaluation.

Preferred

  • Basic knowledge of reinforcement learning.
  • Experience in AI training, model evaluation, or benchmark/task authoring.

Compensation & Legal

  • Hourly contractor
  • Paid weekly

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.