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Rl Solutions Jobs (NOW HIRING)

Applied RL Engineer

Reston, VA · On-site

$100 - $150/hr

Applied RL Engineer-Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This ...

Senior Staff AI Engineer

San Francisco, CA · On-site

$65 - $84/hr

You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training ...

Senior Staff AI Engineer

Los Altos, CA · On-site

$123K - $169K/yr

... align RL solutions with strategic business goals and integrate them into production systems. • Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in ...

Senior Staff AI Engineer

Los Altos, CA · On-site

$123K - $169K/yr

... align RL solutions with strategic business goals and integrate them into production systems. • Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in ...

Risk Management Specialist

Boston, MA · On-site

$78K - $113K/yr

Maintains RL Solutions database * Tracks and analyzes adverse event data * Reviews aggregate data for trends * Identifies risk-prone processes and safety gaps * Supports QA/RM databases for committee ...

Prototype and iterate on end-to-end RL training recipes that inform what data Snorkel ships as part ... solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and ...

Foreman

Pasadena, TX · On-site

$1.4K - $1.9K/wk

ABOUT RL SITEWORX RL specializes in delivering high-quality, cost-effective earthwork and wet utility solutions for ground-up construction projects across commercial, industrial, retail, multi-family ...

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

... RL), evaluation, and model optimization. • Support a broad model portfolio spanning LLMs ... solutions. • As we work with customers across multiple industries, we help improve NVIDIA ...

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Showing results 1-20

Rl Solutions information

See salary details

$23.5K

$79.4K

$188.5K

How much do rl solutions jobs pay per year?

As of Aug 23, 2026, the average yearly pay for rl solutions in the United States is $79,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $120,500.00 per year, depending on experience, location, and employer.

What is an rl solutions specialist?

RL Solutions is a company that specializes in healthcare software, providing tools for incident reporting, risk management, patient feedback, and quality improvement. Their software helps hospitals and healthcare organizations track and manage patient safety events, streamline workflows, and comply with regulatory requirements. By using RL Solutions, healthcare providers can improve patient outcomes, enhance transparency, and foster a culture of safety within their organizations.

What are the key skills and qualifications needed to thrive as an rl solutions specialist?

To thrive as an RL Solutions Specialist, you need strong analytical abilities, knowledge of healthcare quality/safety processes, and experience with incident management or risk management software, often supported by a background in healthcare or information technology. Familiarity with RLDatix (formerly RL Solutions) software, data reporting tools, and possibly certifications in healthcare quality or informatics are typically required. Excellent problem-solving, communication, and customer service skills help specialists effectively address client needs and facilitate system adoption. These competencies ensure effective implementation, user training, and accurate data analysis, ultimately improving patient safety and organizational compliance.

How does working as an rl solutions specialist typically involve collaboration with other healthcare professionals?

As an RL Solutions Specialist, you will work closely with a broad range of healthcare professionals, such as nurses, quality improvement teams, IT staff, and hospital administrators. Your main responsibilities often include facilitating incident reporting, troubleshooting software issues, and ensuring effective data collection for compliance and safety initiatives. Regular communication and collaboration are essential to tailor the system to meet the institution's unique needs, train end-users, and support ongoing improvement projects. This collaborative environment not only enhances patient safety and quality outcomes but also helps you build a strong professional network within the organization.

What is the difference between Rl Solutions vs Data Analyst?

AspectRl SolutionsData Analyst
Required CredentialsTypically requires certifications in R, Python, or data management toolsOften requires degrees or certifications in statistics, data analysis, or related fields
Work EnvironmentPrimarily in healthcare, logistics, or industry-specific settings focusing on process improvementIn various industries, working with data sets, reporting, and insights generation
Employer & Industry UsageUsed by healthcare providers, manufacturing, and logistics companies for operational improvementsUsed across finance, marketing, healthcare, and tech sectors for data-driven decision making

Rl Solutions focuses on process improvement and operational efficiency within specific industries, often requiring technical certifications. Data Analysts primarily analyze data sets to generate insights across diverse sectors. While both roles involve data handling, Rl Solutions emphasizes process optimization, whereas Data Analysts focus on interpreting data for strategic decisions.

More about Rl Solutions jobs

What states have the most Rl Solutions jobs?

States with the most job openings for Rl Solutions jobs include:

Infographic showing various Rl Solutions job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $79,392 per year, or $38.2 per hour.

$100 - $150/hr

Other

Posted 5 days ago


Job description

Applied RL Engineer-Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Applied RL Engineer

Location: 100% Remote (United States)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience: 6+ years

Sponsorship: U.S. Citizens, Green CardHolders, EADHolders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.

Required Qualifications
  • Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.
  • Six or more years of combined RL research and engineering experience.
  • Strong proficiency in Python and modern deep learning frameworks.
  • Hands‑on experience with at least one major RL library or in‑house RL stack.
  • Solid understanding of probability, optimization, and the theoretical foundations of RL.
  • Experience designing and tuning reward functions in non‑trivial environments.
  • Familiarity with simulation environments and large‑scale experience collection.
  • Experience training neural network policies on GPU clusters.
  • Strong written and verbal communication skills.
  • Track record of shipping or publishing impactful RL work.
Preferred Qualifications
  • Experience with RLHF for large language models.
  • Familiarity with multi‑agent RL or hierarchical RL.
  • Exposure to robotics, control systems, or autonomous driving.
  • Publications in RL or related research venues.
  • Open‑source contributions to RL libraries or environments.
Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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