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Internship Rlhf Jobs (NOW HIRING)

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

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 Jul 24, 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.

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 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.

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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Internship Rlhf jobs near you
Infographic showing various Internship Rlhf job openings in the United States as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Research Intern, Agent RL Training

Research Intern, Agent RL Training

NewsBreak

Mountain View, CA • On-site

$35 - $50/hr

Full-time, Internship

Posted 2 hours ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the Role
We are looking for a Research Intern to join our Agent RL Training team. You will be paired with a full-time employee as your mentor, working together to explore, from zero to one, how to apply large language models to NewsBreak's core business, including content understanding, recommendation, agentic web browsing, and autonomous multi-step task completion.
This is a hands-on research role. You are expected to independently drive experiments, propose novel ideas, and iterate quickly. We value self-starters with deep intellectual curiosity and the drive to push boundaries in LLM post-training and agent capabilities.
Location: Onsite in Mountain View, CA office
What You'll Work On
  • Collaborate with your full-time mentor to identify high-impact research directions for applying LLMs to NewsBreak's products
  • Independently run end-to-end SFT experiments on LLM-based agents, and assist with RL-related exploration such as reward design and training iteration
  • Curate and build high-quality training datasets: instruction-following, preference pairs, agent trajectories, and synthetic data
  • Contribute to public publications; we encourage and support top-venue submissions during your internship
What We're Looking For
Requirements
  • Highly motivated and committed: willing to put in extra hours when needed to push projects across the finish line
  • Genuine passion for research: you read papers for fun, tinker with models on weekends, and care deeply about advancing the field
  • Independently capable of end-to-end model SFT: with basic understanding of RL-based post-training methods (RLHF, DPO, PPO, GRPO, etc.)
  • Excellent taste in model behavior: able to reason about what "good" looks like across user-facing domains and articulate why
  • Strong Python and PyTorch skills
Preferred Qualifications
  • Publication at a top-tier venue (NeurIPS, ICML, ICLR, ACL, EMNLP, or equivalent)
  • Experience with multi-node distributed training (FSDP, DeepSpeed, Megatron-LM)
  • Proficiency in writing custom GPU kernels with Triton or CUDA
  • Experience building synthetic data pipelines for agent training
  • Familiarity with open-source RL frameworks: TRL, OpenRLHF, veRL/vLLM

Hourly Pay: $35- $50
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$35-$50 USD
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