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Helper Reinforcement Learning Jobs in Washington, DC

... help build intelligent systems that drive impactful business solutions. In this role, you will work ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

... help build intelligent systems that drive impactful business solutions. In this role, you will work ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

... help build intelligent systems that drive impactful business solutions. In this role, you will work ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

... help build intelligent systems that drive impactful business solutions. In this role, you will work ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Showing results 21-40

Helper Reinforcement Learning information

See Washington, DC salary details

$11

$18

$25

How much do helper reinforcement learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for helper reinforcement learning in Washington, DC is $18.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.86 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.

What are the most commonly searched types of Reinforcement Learning jobs in Washington, DC?

The most popular types of Reinforcement Learning jobs in Washington, DC are:

Infographic showing various Helper Reinforcement Learning job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,724 per year, or $18.6 per hour.

AI Builder - New York City NY

AHU Technologies, Inc.

Washington, DC • On-site

$140K - $300K/yr

Full-time

Re-posted 5 days ago


Job description

Position: AI BuilderLocation: New York City, NY
Job Type: Full-Time
Work Model: On-site
Job Summary
We are looking for an AI Builder to lead applied AI initiatives and develop enterprise-grade AI agent systems. The ideal candidate will combine machine learning, software engineering, and product thinking to build reliable AI solutions that solve complex business problems.
Responsibilities
  • Build AI agents, evaluation systems, training workflows, and AI development environments.
  • Lead AI projects from idea discovery to prototype, deployment, and continuous improvement.
  • Collaborate with engineering, product, and research teams to deliver scalable AI solutions.
  • Work with stakeholders to understand workflows and transform them into AI-powered products.
  • Create reusable AI tools, frameworks, and automation systems.

Requirements
  • Experience in applied ML, AI systems, reinforcement learning, or product engineering.
  • Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement.
  • Strong programming skills in Python, Java, C++, TypeScript, or JavaScript.
  • Experience building and shipping real AI products or technical systems.
  • Ability to identify high-value AI use cases and develop practical solutions.
  • Strong ownership mindset with a track record of delivered projects.
  • Must be able to work on-site in New York City.

Preferred Qualifications
  • Experience with enterprise AI products, AI agents, evaluation frameworks, or post-training systems.
  • Background in reinforcement learning, applied ML, model alignment, or AI workflow automation.
  • Experience working across customers, engineering teams, and product teams.

Compensation: $140,000.00 - $300,000.00 per hour
About Us
AHU Technologies INCis an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.