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Reinforcement Learning With Human Feedback Jobs in Baton Rouge, LA

IBM

Intern Package Specialist 2027 - Workday

Baton Rouge, LA · On-site

$14.50 - $19.25/hr

... personal learning. * Familiarity with Human Capital Management (HCM), cloud-based business ... They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate ...

New

IBM

Intern Package Specialist 2027 - Workday

Baton Rouge, LA · On-site

$13 - $17.50/hr

... personal learning. * Familiarity with Human Capital Management (HCM), cloud-based business ... They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate ...

New

State of Louisiana

PARAEDUCATOR

Baton Rouge, LA · On-site

$10.15 - $21.36/hr

... with daily lessons, classroom supervision, learning-environment setup, and positive-reinforcement ... Garilyn London OJJ/Human Resources Garilyn.London@la.gov If you are contacted for an interview ...

Varsity Tutors

AP Human Geography Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... Human Geography tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Live Learning Platform. No commuting required. * Get matched with students best-suited to your ...

Varsity Tutors

BCABA Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... Live Learning Platform. No commuting required. * Get matched with students best-suited to your ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

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Reinforcement Learning With Human Feedback information

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How much do reinforcement learning with human feedback jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for reinforcement learning with human feedback in Baton Rouge, LA is $39.08, according to ZipRecruiter salary data. Most workers in this role earn between $28.41 and $50.77 per hour, depending on experience, location, and employer.

What is reinforcement learning with human feedback?

Reinforcement Learning with Human Feedback (RLHF) is a machine learning technique where AI agents are trained not only through automated reward signals but also by incorporating feedback from humans. This approach helps align the agent’s behavior with human preferences, values, or safety requirements by allowing humans to guide or correct the learning process. RLHF is commonly used in developing advanced AI systems, such as language models, to ensure their outputs are helpful, safe, and aligned with user expectations. The process often involves human evaluators ranking or scoring the AI's responses, which are then used to fine-tune the model’s behavior.

What collaborations are typical for a reinforcement learning with human feedback specialist within a machine learning team?

As an RLHF specialist, you often work closely with data scientists, machine learning engineers, and domain experts to design effective feedback mechanisms and reward models. Collaboration with annotation teams or subject matter experts is common, as high-quality human feedback is crucial for training robust RLHF models. You may also partner with product managers and UX researchers to ensure that the models align with user needs and ethical considerations. Regular cross-functional meetings and code reviews help maintain alignment and foster innovation across teams.

What are the key skills and qualifications needed to thrive as a reinforcement learning with human feedback engineer?

To excel as a Reinforcement Learning with Human Feedback (RLHF) Engineer, you need a strong background in machine learning, reinforcement learning theory, statistics, and typically an advanced degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like Ray RLlib), and experience with data collection and annotation systems are essential. Excellent problem-solving abilities, communication skills, and teamwork help you collaborate with researchers, data annotators, and other engineers. These skills enable you to design and implement RLHF systems that are robust, scalable, and aligned with human values.

What is the difference between Reinforcement Learning With Human Feedback vs Reinforcement Learning Engineer?

AspectReinforcement Learning With Human FeedbackReinforcement Learning Engineer
CredentialsTypically requires knowledge of machine learning, AI, and data analysisRequires similar credentials in machine learning, programming, and AI
Work EnvironmentResearch labs, AI development teams, tech companiesDevelopment teams, research labs, tech firms
Industry UsageUsed in AI training, human-in-the-loop systems, and model refinementDesigning, implementing, and optimizing reinforcement learning algorithms

Reinforcement Learning With Human Feedback focuses on improving AI models through human input, while Reinforcement Learning Engineers develop and deploy these algorithms. Both roles require strong machine learning skills and often work in similar environments, but their core responsibilities differ in application and focus.

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Reinforcement Learning With Human Feedback jobs near you
Infographic showing various Reinforcement Learning With Human Feedback job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,283 per year, or $39.1 per hour.

Corporate Trainer/Technical Trainer- 3635441

AMS Staffing, Inc.

Baton Rouge, LA

$90K - $125K/yr

Full-time

Re-posted 6 days ago

Job description

Job Title: Corporate Trainer/Technical Trainer

Location: Baton Rouge LA 70802

Salary/Payrate: $90K-$125K annually and AWESOME benefits!!!

Work Environment:  Onsite with frequent travel (2 trips per month – could be 1 or 2 night trips)

Term: Permanent / Fulltime

Bachelor’s degree required:  No

Referral Fee: AMS will pay $500 should the person you refer gets hired


JOB DESCRIPTION

This position will be developing and implementing effective training programs that enhance employee skills and foster professional growth within the organization. This position is responsible for designing training curricula and ensuring that all training initiatives align with the firm’s strategic goals. The ideal candidate will possess strong organizational skills and a passion for educating staff and attorneys.

 


Responsibilities Include

  • Train attorneys and support staff on the basic and advanced functions of the core and specialized legal applications used by the Firm using such methods as one-on-one training in-person, in-person group instruction, and on-line instruction.
  • Partnering with and forming strong trusted advisor relationships with Firm Management, Practice Group Leaders and Partners to identify training and program needs and determine appropriate means to deliver and assess the success of related programs
  • Measure and assess organizational needs to effectively design, implement, and evaluate programs that facilitate the development and continuous learning of all Firm employees to ensure Firm objectives and strategic needs are being met
  • Develop, execute, and expand as needed, training programs offered at all levels within the employee and attorney
  • Develop and maintain training materials for all applications and systems used by the Firm
  • Assist with testing and documentation of applications and settings for new systems and software
  • Identify additional training requirements by working with IT staff, analyzing help desk reports, and classroom feedback
  • Evaluate eLearning platforms/Learning Management Systems for the most effective programs and develop content for on-demand skills-based video training
  • Conduct multiple-session computer application training for new hires. Collaborates with Human Resources on coordinating new hire training and works with HR to identify additional training needs of the Firm
  • Provide desk-side assistance and floor support during and after training
  • Conduct post training surveys to assess effectiveness

 


Technical Knowledge

  • Microsoft Windows 10 Enterprise or higher
  • Microsoft Office 365 (Word, Excel, Outlook, PowerPoint, OneDrive, SharePoint)
  • Document management systems (DMS) experience preferred
  • In-depth knowledge of templates, document design, and styles
  • Learning management system
  • Knowledge of legal case management, time entry, and expense systems preferred.

 


Required Qualifications

  • Bachelor’s degree, or equivalent certifications, or equivalent work experience
  • Minimum 5 years of technology or organizational development training experience
  • Previous law firm experience highly desired
  • Experienced in planning, designing, teaching, and facilitating technology training
  • Ability to communicate with attorneys and staff in an effective, non-technical manner
  • Demonstrated research, analytical, and critical thinking skills within fast-paced, innovative technology environments
  • Strong organizational, prioritization, time management, and project management skills, with the ability to adapt quickly to changing priorities and new applications/technologies
  • Ability to work well under pressure, facilitate solutions, and meet deadlines and respond to changing priorities with ease
  • Strong interpersonal, writing, verbal communication, customer service skills and collaborative mindset
  • Ability to travel to all eight offices (overnight travel required