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Online Rlhf Jobs in Boston, MA (NOW HIRING)

Online Rlhf information

See Boston, MA salary details

$19K

$44.1K

$93.4K

How much do online rlhf jobs pay per year?

As of Aug 2, 2026, the average yearly pay for online rlhf in Boston, MA is $44,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,200.00 and $47,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Online RLHF (Reinforcement Learning from Human Feedback) specialists when collaborating with cross-functional teams?

Online RLHF specialists often work closely with machine learning engineers, data annotators, and product managers. A common challenge is ensuring that feedback from human annotators is accurately integrated into model training, which requires clear communication and well-defined annotation guidelines. Additionally, balancing the pace of model updates with the need for high-quality human feedback can be demanding. Effective collaboration and regular syncs are essential to maintain alignment and achieve project goals.

What is the difference between Online Rlhf vs Online Rlhf?

AspectOnline RlhfOnline Rlhf
CredentialsTypically requires certification in online health coaching or related fieldsTypically requires certification in online health coaching or related fields
Work EnvironmentRemote, online platform-basedRemote, online platform-based
Industry UsageCommon in health and wellness sectorsCommon in health and wellness sectors
Job FocusProviding health guidance and support onlineProviding health guidance and support online

Online Rlhf and Online Rlhf are the same role, often used interchangeably. Both involve providing health and wellness support remotely, requiring similar certifications and working within the online health industry. The key difference is often in terminology rather than job function.

What are Online RLHF jobs?

Online RLHF (Reinforcement Learning from Human Feedback) jobs typically involve helping to train AI models by providing human feedback on their outputs. Workers in these roles might review model responses, rate the quality of generated text, or suggest improvements to help the AI learn to produce better results. These jobs are often remote and can be done part-time or as contract work. They play a crucial role in improving the safety, usefulness, and accuracy of AI systems by aligning them more closely with human preferences.

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

To thrive as an Online RLHF Specialist, you need a strong background in machine learning, reinforcement learning, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with technical tools like Python, PyTorch or TensorFlow, and experience with human feedback systems or annotation platforms are highly valuable. Strong problem-solving, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These qualifications ensure the effective training and evaluation of AI models, leading to more accurate and reliable machine learning systems.
What are popular job titles related to Online Rlhf jobs in Boston, MA? For Online Rlhf jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Online Rlhf jobs in Boston, MA look for? The top searched job categories for Online Rlhf jobs in Boston, MA are:
What cities near Boston, MA are hiring for Online Rlhf jobs? Cities near Boston, MA with the most Online Rlhf job openings:

Research Scientist, RL for Dexterous Manipulation, Atlas

Boston Dynamics

Waltham, MA • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Boston Dynamics is a robotics company known for its innovative humanoid robots. They are seeking a Research Scientist to lead projects on reinforcement learning for dexterous manipulation tasks, focusing on visual sim-to-real transfer and post-training of Vision-Language-Action models.
Responsibilities:
• Develop novel algorithms for visual sim-to-real transfer with photorealistic rendering
• Design post-training recipes that improve pretrained VLA models on manipulation tasks
• Research reward modeling, and offline-to-online RL for large multimodal policies
• Close the sim-2-real gap through tactile sensing, vision, and system identification
• Train policies that generalize across objects, scenes, and embodiments
Qualifications:
Required:
• PhD, in ML, Robotics, or a related field or a MS with 3+ years of experience
• Track record of first-author publications at top venues (CoRL, RSS, ICLR, NeuRIPS)
• Demonstrated experience training policies for dexterous or contact-rich manipulation
• Hands-on experience with VLA models, diffusion policies, or large behavior models
• Proficient in PyTorch and/or JAX, with experience training models at scale
• Strong software fundamentals and the ability to ship research code that runs reliably
Preferred:
• Deployed vision-based manipulation policies on physical robots
• Deep knowledge of sim-to-real transfer techniques and photorealistic rendering
• Built training pipelines that combine RL, imitation learning, and large-scale pretraining
• Experience fine-tuning foundation models with RLHF, DPO, GRPO, or related methods
• Familiarity with tactile sensing, multi-fingered hands, or bimanual coordination
Company:
Boston Dynamics is an engineering company that specializes in building dynamic robots and software for human simulation. It is a sub-organization of Hyundai Motor Company. Founded in 1992, the company is headquartered in Waltham, USA, with a team of 501-1000 employees. The company is currently Late Stage.