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Reinforcement Learning With Human Feedback Jobs in Baton Rouge, LA

Apache Industrial Services

HR Partner

Geismar, LA

HR Partner Position Reports To: HR Manager Position Summary The HR Partner serves as a strategic ... feedback delivery * Identify high-potential talent and partner with Workforce Development on ...

Apache Industrial Services

HR Partner

Geismar, LA

HR Partner Position Reports To: HR Manager Position Summary The HR Partner serves as a strategic ... feedback delivery * Identify high-potential talent and partner with Workforce Development on ...

OU Medicine

HR Operations Manager

Central, LA · On-site

$90 - $130/hr

Inability to perform these responsibilities, with or without an accommodation, may result in ... Develops and implements structured learning pathways to build HR Generalist capabilities* Elevates ...

New

Gallagher

Property and Casualty Trainer

Baton Rouge, LA · On-site +1

$57K - $112K/yr

... learning reinforcement tactics. Key responsibilities further include: * Identifying and evaluating ... Delivering training in a classroom and/or a webinar setting; and Collaborating with HR, business ...

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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 20, 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.

HR Partner

Apache Industrial Services

Geismar, LA

Full-time

Re-posted 13 days ago

Apache Industrial Services rating

6.7

Company rating: 6.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Job Description

Position Title: HR Partner

Position Reports To: HR Manager

Position Summary

The HR Partner serves as a strategic advisor and HR resource for one or more of Apache's operations regions. This role provides support and guidance in the areas of employee relations (ER), workforce planning, performance management, talent and leadership development, reward/recognition, training, engagement, and policy/guideline development. The HR Partner is the primary HR point of contact and is expected to be present where the work happens.

Essential Functions

Strategic Partnership & Organization Effectiveness

  • Act as a trusted advisor to leadership on all people-related matters
  • Support restructuring efforts as regions grow or evolve
  • Identify trends in workforce data and proactively surface insights to division leadership

Talent Acquisition and Workforce Mobilization

  • Partner with Talent Acquisition to support craft and professional hiring tied to project awards and ramp timelines
  • Drive workforce planning cycles to ensure division staffing aligns with project bid assumption
  • Support rapid mobilization and demobilization of project crews, ensuring compliant and efficient execution

Employee Relations & Compliance

  • Provide HR policy guidance and interpretation and assist in developing new procedures/processes based on feedback from the operations teams and changes to local labor law.
  • Conduct and document employee relations investigations with objectivity and in accordance with company policy
  • Advise supervisors and managers on corrective action, performance management, and separation decisions
  • Ensure region compliance with federal, state, and local employment law across all operating jurisdictions
  • Partner with HR Leadership and Legal on complex investigations and escalated matters
  • Maintain awareness of union activity and support labor relations strategy where applicable

Performance & Talent Development

  • Drive the performance review cycle within the region, coaching managers on goal-setting and feedback delivery
  • Identify high-potential talent and partner with Workforce Development on succession and development planning
  • Coach frontline supervisors on effective people leadership practices
  • Support the design and delivery of frontline supervisor development programs
  • Collaborate closely with the Safety function on return-to-work programs, incident follow-up, and workforce safety culture
  • Ensure HR practices reinforce safety accountability in the field
  • Partner with Safety on workforce communications and behavior-based safety initiatives
  • Other duties as needed.

Education & Experience

Required

  • 3+ years of progressive HR experience, with at least 2 years as an HR Partner or HR Generalist supporting field or operational populations
  • Demonstrated experience in employee relations, including conducting workplace investigations and advising on disciplinary matters
  • Ability to travel to project sites and field locations from 25 - 40%

Preferred

  • Experience in industrial services, construction, oil & gas, petrochemical, or a similar project-based environment
  • PHR, SPHR, SHRM-CP, or SHRM-SCP certification
  • Bachelor's degree in Human Resources or related field

Knowledge, Skills, and Abilities

Required

  • Working knowledge of federal, state, and local labor laws and statutes for employment with the ability to apply laws and standards to real-life situations to mitigate company risk
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, SharePoint)
  • Proficiency with HRIS Platforms (Workday preferred)
  • Demonstrates courage to handle ambiguous situations
  • Demonstrated ability to effectively work with all levels of the organization, viewed as approachable and trusted by employees.

Preferred

  • Familiarity with union environments, collective-bargaining agreements, or prevailing wage requirements

Work Conditions/Physical Demands

  • Remaining in a stationary position, often standing, or sitting for prolonged periods.
  • Exposure to outdoor environmental conditions when visiting project sites; minimal adverse conditions expected during office-based work.
  • Ability to navigate uneven terrain and varying outdoor conditions - including exposure to heat, cold, rain, wind, dust, and noise - while visiting active project sites and field locations
  • Light work that includes moving objects up to 20 pounds.

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