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Remote Reinforcement Learning Jobs in Phoenix, AZ

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Remote Reinforcement Learning information

See Phoenix, AZ salary details

$10.9K

$83.3K

$139K

How much do remote reinforcement learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote reinforcement learning in Phoenix, AZ is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $138,000.00 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 are the most commonly searched types of Reinforcement Learning jobs in Phoenix, AZ?

The most popular types of Reinforcement Learning jobs in Phoenix, AZ are:

What are popular job titles related to Remote Reinforcement Learning jobs in Phoenix, AZ?

For Remote Reinforcement Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Reinforcement Learning jobs in Phoenix, AZ look for?

The top searched job categories for Remote Reinforcement Learning jobs in Phoenix, AZ are:

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

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

Remote Reinforcement Learning jobs near you

Grades 6-12 Science-Biology Adjunct Instructional Staff

ASU Preparatory Academy

Phoenix, AZ • On-site, Remote

Part-time

Posted 20 days ago

Job description

If you are a current worker, please log into Workday and access our internal career site to apply.
Salary Range:
Please see pay chart in Job Description below.
As part of Arizona State University's charter to provide access and excellence, ASU Preparatory Academy (ASU Prep) shares this commitment by demonstrating all students can achieve at the highest levels, regardless of their background. To scale our current impact, ASU Prep is advancing a major expansion program taking fundamental responsibility for the communities we serve.
A Digital Adjunct Instructional Staff member is responsible for making knowledge accessible to all students, developing student's cognitive capacity and respect for learning, implementing ILP (Individual Learning Plans), fostering students' self esteem, motivation, and sense of civic responsibility and leadership, and for ongoing professional growth. A member of the Digital Adjunct Instructional Staff is a reserve of highly qualified teachers who can start immediately upon an available position. Most opportunities, once available, are a remote, part-time employment position. Inactivity over a twelve month period will make one ineligible for appointment and will result in removal from our reserve. Becoming a member of the Digital Adjunct Instructional Staff does not guarantee immediate employment or employment within a certain time period. Please note, that compensation is only earned when assigned a position and paid in accordance to the approved pay structure. This position is not eligible for benefits.
QUALIFICATIONS:
  • Minimum Bachelor's Degree in Education or Post Bachelors in Education from an accredited college or university or meets Highly Qualified requirements per the Arizona Department of Education.
  • State Aligned Teaching Certificate required (appropriate endorsements may be required depending on the area of instruction or have passed appropriate AEPA or NES proficiency exams), AZ State Teaching Cert, preferred.
  • Professional verification of successful classroom teacher performance and/or student teaching experience
  • Active AZ Department of Public Safety (DPS) IVP Fingerprint Clearance Card.
  • Any equivalent combination of experience, training and/or education from which comparable knowledge, skills and abilities may be considered.

DUTIES AND RESPONSIBILITIES:
  • Delivers instruction in a specific content area and determines instruction techniques, strategies, methods and adapts curriculum and learning styles to meet and assess student's needs.
  • Maintains open lines of communication daily with parents/guardians about academic and discipline issues through various mediums including phone calls, text message, webinars, emails, progress reports, etc.
  • Develops, analyzes, adjusts, and implements ILP for students to accommodate instruction based on assessment and determining correct assessment tool and appropriate level to use.
  • Helps to ensure that ASU Prep Digital follows guidelines outlined by the Arizona Department of Education meeting instructional hours per week.
  • Works collaboratively to achieve the overall purposes of the school program.
  • Maintains a classroom atmosphere conducive of learning.
  • Facilitates weekly Live Lessons in a Webinar-type setting to a specific grade level to showcase student work.
  • Has appropriate devices, internet access, materials, supplies, and equipment so to work each day.
  • Provides grading and personalized descriptive feedback for all student work to encourage student growth and master of concepts.
  • Displays excellent digital skills and the ability to facilitate learning and community within a digital environment.
  • Additional duties may be assigned as necessary.

KNOWLEDGE, SKILLS AND ABILITIES:
  • Ability to articulate, represent professional demeanor and ability to take initiative.
  • Command of theoretical knowledge of human behavior and learning including motivation, reinforcement, evaluation, and feedback techniques
  • Excellent interpersonal skills; ability to work with a wide-range of people including teachers, parents, and students.
  • Proven written and verbal communication skills.
  • Strong organizational and planning skills
  • Effective problem solver and self-motivated learner
  • Ability to use instructional adaptive technology tools in online courses
  • Proficiency in Microsoft Office applications (Word, Excel, PowerPoint, and Outlook).
  • Proficiency with technology with computers such as Canvas, Zoom, and Google Suites.

PHYSICAL DEMANDS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is frequently required to stand and talk or hear and sometimes walk and sit. The employee must use hands, arms and fingers to input data, handle, feel or reach. While performing the duties of this job, the employee may occasionally push or lift up to 15 lbs. such as boxes, supplies, etc. Specific vision abilities required by this job include close vision such as to read handwritten or typed material, and the ability to adjust focus, close vision, distance vision, color vision, peripheral vision and depth perception.
LOCATION:
Digital
TRAVEL:
Occasional travel may be required for site visits, meetings, trainings and/or conferences. Locations may vary and may require overnight stays.
COMPENSATION:
Compensation is paid out on a monthly basis. You will be paid on the 15th of the following month.
Assigned Position Compensation Rate Paid on Monthly Basis
Elementary K-5 $24.45/hr (not to exceed 19.50 hours per week)
Grades 6-12 with 1-20 Students $500/month
Grades 6-12 with 21-40 Students $802/month
Grades 6-12 with 41-60 Students $1,080/month
Grades 6-12 with 61-85 Students $1,334/month
Grades 6-12 Summer Session with 6-20 Students $1,250
Grades 6-12 Summer Session with 21-35 Students $2,000
Grades 6-12 Summer Session with 36-50 Students $2,750
Grades 6-12 Summer Session with 51-65 Students $3,500
Senior Seminar $1,500/month
Substitute Teacher $225/day
Webinar Facilitator $200/webinar
Translator $40/hr
Special Assignment $30/hr
This job description is subject to change at any time.

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