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Helper Reinforcement Learning Jobs (NOW HIRING)

$20/hr

Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms ... help all members of the community thrive. We value belonging as a core strength and an essential ...

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Working alongside Analytics, Product, and Engineering, you'll help develop intelligent systems that ... Applying reinforcement learning, contextual bandits, online learning, and other adaptive learning ...

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Helper Reinforcement Learning information

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$10

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How much do helper reinforcement learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for helper reinforcement learning in the United States is $16.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

More about Helper Reinforcement Learning jobs
What cities are hiring for Helper Reinforcement Learning jobs? Cities with the most Helper Reinforcement Learning job openings:
What are the most commonly searched types of Reinforcement Learning jobs? The most popular types of Reinforcement Learning jobs are:
What states have the most Helper Reinforcement Learning jobs? States with the most job openings for Helper Reinforcement Learning jobs include:
What job categories do people searching Helper Reinforcement Learning jobs look for? The top searched job categories for Helper Reinforcement Learning jobs are:
Infographic showing various Helper Reinforcement Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, 15% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $34,190 per year, or $16.4 per hour.
Developer Advocate - Reinforcement Learning

Developer Advocate - Reinforcement Learning

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 2 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

The NVIDIA developer marketing group is looking for a developer advocate who is passionate about working with innovative technology, building well-documented inspirational demos, and sharing that code with the AI community. Our team is deeply committed to championing the developer ecosystem that builds applications on NVIDIA's platform. We need a candidate who understands developers and works with the developer marketing on launching new technology.
Do you have the rare blend of both engineering and marketing skills? We need hard-working and creative people who are passionate about teaching our developer community how to employ accelerated computing. If you aspire to this calling, we would love to learn more about you!
What you'll be doing:
  • Create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage with developers, researchers, and students at events online or in person.
  • Collaborate with the product marketing team to launch emerging technology, write code, and share it with the community to inspire developers.
  • Actively participate on public-facing NVIDIA channels, including forums, Discord, and social media, helping developers understand our demos and encouraging them to build their own applications.
  • Some travel may be required to present at trade shows and conferences.

What we need to see:
  • Bachelor's degree in Computer Science or related field (or equivalent experience).
  • 5+ years of relevant experience, including 3 years of engineering experience (or equivalent).
  • World-class communication and presentation skills with a proven track record of articulating the value proposition of an emerging technology.
  • Experience presenting to technical audiences and writing developer-facing content. You will be asked to provide samples of prior work.
  • Ability to design and implement Reinforcement learning and post-training pipelines for LLM to improve model reasoning, safety, and instruction-following capabilities.
  • Strong programming skills with the ability to develop easy-to-understand examples on training pipeline using AI frameworks such as PyTorch, JAX, and NeMo-RL
  • Ability to prioritize and work through constantly evolving projects that strive to demonstrate the benefits of new, potentially unstable technology.

Ways to stand out from the crowd:
  • In-depth knowledge of software architecture, system design, and application development.
  • Hands-on experience popular reinforcement learning libraries such as Unsloth, TRL, OpenRLHF.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993