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Internship Rlhf Jobs (NOW HIRING)

Higharc is seeking Research Interns (PhD) to join our Special Projects team. You'll work at the ... RLHF, DPO, or other preference optimization methods * Experience with multi-GPU training and large ...

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... RLHF). Amazon is an equal opportunity employer and does not discriminate on the basis of protected ...

OR · On-site

... RLHF/DPO/RL), reward modeling, multi-agent or interactive simulation, behavioral or cognitive ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

The internship will focus on building intelligent agents, generating high-quality trajectories ... Familiarity with training or adapting LLMs using SFT, RL, DPO/RLHF methods, or trajectory data.

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How much do internship rlhf jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for internship rlhf in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

Is there a shortage of ML engineers?

The demand for ML engineers remains high across industries due to the growth of artificial intelligence and data-driven applications. Companies often seek candidates with skills in machine learning frameworks like TensorFlow or PyTorch, and a strong background in programming and statistics, leading to a competitive job market for qualified professionals.

What are Internship RLHF positions?

Internship RLHF positions refer to internships focused on Reinforcement Learning from Human Feedback (RLHF), a cutting-edge area in artificial intelligence research. Interns in RLHF roles typically work on projects that involve training AI models to align with human preferences using feedback data, often in natural language processing or robotics. These internships are usually offered by tech companies or research labs and provide hands-on experience in machine learning, data analysis, and experimental design. RLHF interns often collaborate with experienced researchers and engineers to advance AI systems' safety, reliability, and alignment with human values.

What jobs can I get with human computer interaction?

With a background in human-computer interaction (HCI), you can pursue roles such as user experience (UX) designer, usability analyst, interaction designer, or user researcher. These jobs involve designing and improving digital interfaces, often requiring skills in user research, prototyping, and familiarity with tools like Adobe XD or Figma.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as internships in research, healthcare, and skilled trades, are more likely to survive AI automation. Roles involving emotional intelligence, nuanced decision-making, and hands-on skills are less susceptible to automation. Developing expertise in these areas can improve job security in an internship setting.

What is the difference between Internship Rlhf vs Research Assistant?

AspectInternship RlhfResearch Assistant
Required CredentialsTypically enrolled students or recent graduatesUsually requires a relevant degree or ongoing education in the field
Work EnvironmentInternship programs, often in academic or research institutionsResearch labs, universities, or research-focused organizations
Employer & Industry UsageUsed by educational institutions and research organizations for trainingCommon in academia, government, and private research sectors
Search & Comparison IntentPeople comparing internship opportunities or entry-level research rolesIndividuals seeking research support or entry-level research positions

Internship Rlhf and Research Assistant roles both involve research activities, but internships are typically short-term training positions for students or recent graduates, while research assistants are more formal, often requiring relevant education and supporting ongoing research projects. Understanding these differences helps candidates choose the right opportunity based on their experience and career goals.

Is ML a high paying job?

Machine learning (ML) jobs, including roles like ML engineer or data scientist, tend to offer high salaries compared to many other tech positions due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Entry-level positions may start lower, but experienced professionals often earn six-figure salaries, especially in industries like finance, tech, and healthcare.

What types of projects and tasks can I expect to work on during an RLHF internship?

As an RLHF (Reinforcement Learning from Human Feedback) intern, you can expect to engage in a variety of projects that combine machine learning, data annotation, and model evaluation. Typical tasks include curating and labeling datasets, training and fine-tuning machine learning models using human feedback, and conducting experiments to evaluate model performance. You may also collaborate closely with engineers and researchers, participate in team meetings, and contribute to documentation or research publications. This hands-on experience will help you develop both technical and collaborative skills essential for a career in AI research.

What are the key skills and qualifications needed to thrive as an RLHF (Reinforcement Learning from Human Feedback) Intern, and why are they important?

To thrive as an RLHF Intern, you need a solid background in machine learning, statistics, and programming (especially Python), usually supported by ongoing or completed studies in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and familiarity with reinforcement learning libraries are typically required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns contribute meaningfully and learn quickly. These skills and qualities are crucial for successfully developing, evaluating, and improving RLHF models in a collaborative research environment.
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What cities are hiring for Internship Rlhf jobs? Cities with the most Internship Rlhf job openings:
What are the most commonly searched types of Rlhf jobs? The most popular types of Rlhf jobs are:
What states have the most Internship Rlhf jobs? States with the most job openings for Internship Rlhf jobs include:
Infographic showing various Internship Rlhf job openings in the United States as of June 2026, with employment types broken down into 49% Internship, 25% As Needed, 13% Full Time, and 13% Temporary. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

2026 Fall Intern, Computer Vision/AI

Samsung Research America Internship

Mountain View, CA • On-site

$17.75 - $23.50/hr

Other

Posted 14 days ago


Job description

Lab Summary:

Samsung AI Research Center (SAIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding and generation.

Position Summary: 

In this position, the student will collaborate with leading researchers on a project related to the lab's interests in multimodal (image, video, 3D, text) retrieval, question answering, reasoning, generation and editing.

Position Responsibilities: 

  • Conduct research on multi-modal models in one the above-mentioned area
  • Write maintainable code to implement research ideas
  • Work closely with the team to discuss findings and improve the method
  • Executing experiments, documenting their progress and presenting insights
  • Prepare findings for submission to a major conference or journal

Required Skills:

  • Currently pursuing a MS or PhD degree
  • Experience with programming in Python, Pytorch, Transformers etc.
  • Previous publications in top-tier conference and journals in CV/ML/AI such as CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI
  • Experience in one or more of the following areas:
    • Experience in VLMs including model architecture design, pretraining or post training (SFT, RLHF, GRPO) techniques
    • Experience in diffusion models and other generative AI approaches for image/video/3D domains
    • Experience in design and development of efficient multi-modal models using techniques like knowledge distillation, mixture of experts etc.
    • Experience in Vision Language Action Models (VLA) for Agentic systems in robotics, GUI based task automation etc. 
  • Strong oral and written communication skill