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Reinforcement Learning With Human Feedback Jobs in Springfield, MO

T-Roc

Sr. Territory Field Lead

Springfield, MO · On-site

Deliver practical training, reinforcement, and field-based knowledge sharing for TFLs, including ... Consolidate field feedback, recognize trends and barriers, and provide the Regional Manager with ...

T-Roc

Sr. Territory Field Lead

Springfield, MO · Remote

Deliver practical training, reinforcement, and field-based knowledge sharing for TFLs, including ... Consolidate field feedback, recognize trends and barriers, and provide the Regional Manager with ...

ADP, Inc.

Operations Manager

Springfield, MO · On-site

$100 - $125/hr

Participate in hiring, onboarding, and employee lifecycle activities in coordination with Human ... Strong communication skills with the ability to lead meetings, deliver feedback, and prepare ...

Sodexo

Campus Intern

Springfield, MO · On-site

Employment Type: Part-time Pay Range: $0 - $13.75 Working with Sodexo is more than a job; it's a ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

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

As of Sep 8, 2026, the average hourly pay for reinforcement learning with human feedback in Springfield, MO is $37.02, according to ZipRecruiter salary data. Most workers in this role earn between $26.88 and $48.12 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.

What are popular job titles related to Reinforcement Learning With Human Feedback jobs in Springfield, MO?

For Reinforcement Learning With Human Feedback jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning With Human Feedback jobs in Springfield, MO look for?

The top searched job categories for Reinforcement Learning With Human Feedback jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Reinforcement Learning With Human Feedback jobs?

Cities near Springfield, MO with the most Reinforcement Learning With Human Feedback job openings:

Reinforcement Learning With Human Feedback jobs near you
Infographic showing various Reinforcement Learning With Human Feedback job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,999 per year, or $37 per hour.

Director, Student Learning Services

Missouri State University

Springfield, MO • On-site

$75K - $80K/yr

Full-time

Posted 7 days ago

Missouri State University rating

6.4

Company rating: 6.4 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

532nd of 631 rated colleges and universities

Job description

Posting Details
Position Information
Position Title
Director, Student Learning Services
Work Location
Springfield Campus
Out-of-State Employment
Out-of-state employment is limited to Arkansas, Virginia, Maryland, and Washington, D.C., and subject to supervisor approval.
Department
Student Learning Services
HR Home Department
022035 STUDENT LEARNING SERVICES
Pay Grade
46
Proposed Salary
$75,000 - $80,000/annual
Sponsorship Information
Applicants must be currently authorized to work for ANY employer in the United States on a full-time basis. This position is not eligible for work visa sponsorship.
Position only available to current, regular, full-time Missouri State University employees?
No, Position is available to all applicants.
Appointment Type
Full Time Regular
Exempt/Non-Exempt
Exempt
General Function
The Director of Student Learning Services provides strategic leadership for the development, implementation, and continuous assessment of comprehensive academic support and retention initiatives that advance the University's student success goals. The Director designs and oversees institution-wide tutoring, writing, and supplemental instruction programs; establishes policies and operational frameworks; and ensures alignment with the University's strategic plan and retention objectives.
The Director leads cross-campus collaboration with faculty, academic departments, deans, and student success partners to identify emerging academic support needs, develop data-informed interventions, and evaluate program effectiveness. The Director exercises primary responsibility for program direction, resource allocation, staff supervision, and the integration of assessment findings into long-range planning to strengthen student persistence and achievement.
Description of Primary Duties
1. Leads the development and implementation of institution-wide academic support strategies that advance student retention and persistence. Collaborates with faculty, academic departments, and deans to assess academic support needs; designs and implements targeted, data-informed interventions; and evaluates program impact to inform institutional decision-making. Establishes policies and operational standards that support effective tutoring, writing, and supplemental instruction services across the University.
2. Oversees the recruitment, training, supervision and evaluation of student employees and graduate assistants. Directs staff development initiatives to ensure effective service delivery and continuous improvement of academic support programs.
3. Analyzes, evaluates, solves, and makes decisions regarding problematic situations.
4. Conducts bi-weekly meetings to review activities and inform Consultants, Leaders, Mentors, and Graduate Assistants of new procedures and issues.
5. Develops and monitors budgets and prioritizes services and purchases based on needs and budgetary limitations.
6. Develops and implements comprehensive assessment plans to evaluate program effectiveness, student outcomes, and service utilization. Modifies program structures and operational procedures based on assessment findings and emerging institutional priorities.
7. Leads the design and refinement of systems and processes that promote effective delivery of student support services and align with the University's strategic plan. Identifies areas of need, develops program proposals, and directs implementation of initiatives that strengthen institutional retention efforts and academic success outcomes.
8. Coordinates and develops a competent and effective staff of student mentors and tutors by working with academic department heads and deans in recruiting and hiring qualified students, providing orientation and training regarding programs, policies and procedures, making appropriate work assignments, and evaluating performance.
9. Monitors and coordinates with web strategy to ensure the BearCLAW website is effective in reaching students and conveying appropriate information effectively.
10. Manages the electronic tutoring management system by using it to allow faculty to communicate tutoring needs, scheduling and maintaining records of tutors, tutees, and tutoring sessions, and providing information and analysis of information in the database.
11. Investigates grant opportunities and external funding to further goals and objectives for essential programs and assures that grant-funded programs are administered in compliance with University and funding organization policies and procedures.
12. Remains competent and current through self-directed professional reading, developing professional contacts with colleagues, participating in professional organizations, attending professional development courses, and attending training and/or courses as required by the supervisor.
13. Contributes to the overall success of the Bear CLAW and student success and retention initiatives by preforming all other duties as assigned.
Minimum Acceptable Qualifications
Education: A Master's degree is required.
Experience: Five years of successful experience working with student success initiatives or teaching writing or study skills at the college level are required. Experience in the development of student tutoring programs or/and a writing center are preferred.
Skills: Excellent verbal and written communication skills are required. Proven leadership and managerial skills are required. The ability to expand writing skills assistance through online methods is preferred.
Additional Qualifications
Familiarity with tutor scheduling systems, assessing academic support programs, and space management.
Link to Job Description
https://www.missouristate.edu/Human/JobDescriptions/2422.htm
Open Date
09/01/2026
Close Date (If Close Date is blank then the posting is considered open until filled)
Special Instructions to Applicants
The first date of consideration is September 22, 2026 and review of applications will continue until the position is filled.
Please attach an unofficial transcript to your application. Official transcript required at time of hire.
Equal Opportunity Statement
Non-Discrimination Statement
Missouri State University is a community of people with respect for diversity. The University emphasizes the dignity and equality common to all persons and adheres to a strict non-discrimination policy regarding the treatment of individual faculty, staff, and students. In accord with federal law and applicable Missouri statutes, the University does not discriminate on the basis of race, color, national origin (including ancestry, or any other subcategory of national origin recognized by applicable law), religion, sex (including marital status, family status, pregnancy, sexual orientation, gender identity, gender expression, or any other subcategory of sex recognized by applicable law), age, disability, veteran status, genetic information, or any other basis protected by applicable law in employment or in any program or activity offered or sponsored by the University. Sex discrimination encompasses sexual harassment, which includes sexual violence, and is strictly prohibited by Title IX of the Education Amendments of 1972.
This policy shall not be interpreted in a manner as to violate the legal rights of religious organizations or of military organizations associated with the Armed Forces of the United States of America.
The University maintains a grievance procedure incorporating due process available to any person who believes he or she has been discriminated against. Missouri State University is an Equal Opportunity employer. Inquiries concerning the complaint/grievance procedure related to discrimination on the basis of a protected class, including sexual harassment and sexual assault, or compliance with federal and state laws and guidelines, should be addressed to the Director, Office for Institutional Compliance, Carrington Hall 205, 901 S. National Ave., Springfield, Missouri 65897, Compliance@MissouriState.edu, 417-836-4252
Background Check Statement
Employment will require a criminal background check at University expense.
Posting Detail
Posting Number
20260230FTS
Quicklink for Posting
https://jobs.missouristate.edu/postings/87783

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