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Reinforcement Learning With Human Feedback Jobs in Minnesota

... learning materials to create a scalable leader & manager development resource. * Partner with HR to ensure content aligns with company values and leadership expectations. HR Operations * Support HR ...

People Operations Intern

Saint Paul, MN · On-site

$15.50 - $20.25/hr

... learning materials to create a scalable leader & manager development resource. * Partner with HR to ensure content aligns with company values and leadership expectations. HR Operations * Support HR ...

Human Resources Coordinator

Lake Elmo, MN · On-site

$21 - $27.50/hr

... learning core HR processes across the employee lifecycle. * Experience with HRIS systems, ADP ... Workforce Now, or similar platforms is helpful. Skills & Competencies * Strong organizational ...

Human Resources Generalist

Wyoming, MN · On-site

$70K - $90K/yr

Partner with VES and PDE engineering leaders to understand business priorities, workforce needs ... Use employee feedback, retention trends, team health insights, and workforce data to identify ...

HR Coordinator

Saint Paul, MN · On-site

$21.25 - $27.75/hr

Partner with HR Generalists to develop and update employee and manager job aids, FAQs, and self-service resources. * Provide feedback from employee interactions to HR leaders to inform service design ...

HR Coordinator

Saint Paul, MN · On-site

$21.25 - $27.75/hr

Partner with HR Generalists to develop and update employee and manager job aids, FAQs, and self-service resources. * Provide feedback from employee interactions to HR leaders to inform service design ...

HR Coordinator

Arden Hills, MN · On-site

$24 - $27/hr

Partner with HR Generalists to develop and update employee and manager job aids, FAQs, and self-service resources. * Provide feedback from employee interactions to HR leaders to inform service design ...

HR Coordinator

Arden Hills, MN · On-site

$24 - $27/hr

Partner with HR Generalists to develop and update employee and manager job aids, FAQs, and self-service resources. * Provide feedback from employee interactions to HR leaders to inform service design ...

Manages the Human Resources Team by providing ongoing support and feedback. * Hires, trains, supervises and evaluates the HR Department staff. * Collaborates with HR Team to develop and implement ...

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Reinforcement Learning With Human Feedback information

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 Minnesota?

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

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

The top searched job categories for Reinforcement Learning With Human Feedback jobs in Minnesota are:

What cities in Minnesota are hiring for Reinforcement Learning With Human Feedback jobs?

Cities in Minnesota with the most Reinforcement Learning With Human Feedback job openings:

Infographic showing various Reinforcement Learning With Human Feedback job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain Stimulat

Minneapolis, MN • On-site

University of Minnesota
Education • 10K+ employees

$63K - $74K/mo

Full-time

Medical, Dental, Life

Re-posted 13 days ago


Job description

About the Job
 

Position Summary:
The Post-Doctoral Associate will join an interdisciplinary research program focused on understanding the neural circuit mechanisms underlying cognition and psychiatric illness. The successful candidate will lead analyses of human intracranial electrophysiology, behavioral, and brain stimulation datasets; develop computational models of neural and behavioral processes; contribute to experimental design; and disseminate findings through publications and conference presentations. This position provides a unique opportunity to work with rare human intracranial datasets and advanced neuromodulation approaches while developing an independent research trajectory in systems, cognitive, or clinical neuroscience.
Work Schedule: In-person (Hybrid flexibility possible), M-F and weekends.

Duties/Responsibilities: 
40% - Research and Data Analysis:

  • Analyze human behavioral, electrophysiological, neuroimaging, and brain stimulation datasets.
  • Develop computational models of cognition, behavior, and neural activity.

25% - Experimental Design and Study Execution:

  • Design, implement, and oversee cognitive neuroscience and neuromodulation experiments.
  • Contribute to protocol development and data collection efforts.

20% - Manuscript and Grant Preparation:

  • Lead and contribute to scientific publications.
  • Assist with grant writing and development of new research initiatives.

10% - Mentorship and Collaboration:

  • Mentor graduate students, research staff, and trainees.
  • Collaborate with investigators across psychiatry, neurosurgery, neuroscience, engineering, and psychology.

5% - Scientific Dissemination:

  • Present research findings at conferences, seminars, and collaborative meetings.
     
Qualifications
 

Required Qualifications:

  • PhD, MD/PhD, or equivalent doctoral degree in neuroscience, psychology, cognitive science, biomedical engineering, computer science, psychiatry, neurology, statistics, or a related field.
  • Strong quantitative and programming skills.
  • Experience analyzing human behavioral, electrophysiological, neuroimaging, or other complex biological datasets.
  • Demonstrated scholarly productivity through publications, preprints, or equivalent research outputs.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications: 

  • Experience with intracranial EEG, ECoG, stereo-EEG, DBS recordings, or neural stimulation studies.
  • Expertise in computational modeling, including reinforcement learning, Bayesian methods, drift-diffusion models, or state-space approaches.
  • Experience with Python, MATLAB, R, Julia, or related scientific computing tools.
  • Familiarity with human cognitive neuroscience experiments and task design.
  • Experience with neuromodulation methods including TMS, tACS, DBS, or responsive neurostimulation.
  • Interest in computational psychiatry, addiction, depression, chronic pain, or related translational neuroscience research.
About the Department
 

The Herman Darrow Lab at the University of Minnesota conducts interdisciplinary research at the intersection of human cognitive neuroscience, computational psychiatry, intracranial electrophysiology, and brain stimulation. The lab investigates how distributed neural circuits support cognition, decision-making, working memory, cognitive control, and psychiatric symptoms. Research combines human intracranial recordings, computational modeling, behavioral experimentation, and neuromodulation approaches to develop circuit-based interventions for psychiatric and neurological disorders.

To learn more about the Department of Psychiatry and Behavioral Sciences, please visit https://med.umn.edu/psychiatry. 

Pay and Benefits
 

Pay Range: $63,480 - $74,424 annually; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.