... from wearables, smartphone, health devices at home, and EMR/EHR health data. Our focus is to ... RLHF, human evaluation frameworks, responsible AI) as well as strong knowledge and experience in ...
... from wearables, smartphone, health devices at home, and EMR/EHR health data. Our focus is to ... RLHF, human evaluation frameworks, responsible AI) as well as strong knowledge and experience in ...
... 7 home visits, and imaging is included in members' annual fee. Our mission is to make healthspan ... SFT, LoRA/QLoRA and other PEFT methods, DPO and related preference-tuning approaches, RLHF/RLAIF ...
... 7 home visits, and imaging is included in members' annual fee. Our mission is to make healthspan ... SFT, LoRA/QLoRA and other PEFT methods, DPO and related preference-tuning approaches, RLHF/RLAIF ...
Machine Learning Engineer, Customer Support Engineering
$162K - $186K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
Machine Learning Engineer, Customer Support Engineering
$162K - $186K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
Machine Learning Engineer, Community Support Engineering
San Francisco, CA · On-site
$170K - $180K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
Machine Learning Engineer, Community Support Engineering
San Francisco, CA · On-site
$170K - $180K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
Research Scientist
San Francisco, CA · On-site
... meaningful home here. We're looking for: • Hands-on experience training large-scale models ... Created by researchers from UC Berkeley's SkyLab , The Client is an open platform where everyone ...
Research Scientist
San Francisco, CA · On-site
... meaningful home here. We're looking for: • Hands-on experience training large-scale models ... Created by researchers from UC Berkeley's SkyLab , The Client is an open platform where everyone ...
Senior Machine Learning Engineer, Customer Support Engineering
$196K - $227K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
Senior Machine Learning Engineer, Customer Support Engineering
$196K - $227K/yr
From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests ... Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering ...
OR · On-site
$270K - $432K/yr
... people from initial intent through closing and beyond. By embedding domain knowledge and ... Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF ...
Distinguished Scientist
$257K - $410K/yr
... people from initial intent through closing and beyond. By embedding domain knowledge and ... Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF ...
Distinguished Scientist
$257K - $410K/yr
... people from initial intent through closing and beyond. By embedding domain knowledge and ... Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF ...
From Home Rlhf information
See salary details
$13.22 - $16.74
18% of jobs
$18.17 is the 25th percentile. Wages below this are outliers.
$16.74 - $20.26
17% of jobs
The median wage is $22.31 / hr.
$20.26 - $23.78
26% of jobs
$26.94 is the 75th percentile. Wages above this are outliers.
$23.78 - $27.29
16% of jobs
$27.29 - $30.81
9% of jobs
$30.81 - $34.33
6% of jobs
$34.33 - $37.85
3% of jobs
$37.85 - $41.37
1% of jobs
$41.37 - $44.89
2% of jobs
$44.89 - $48.40
1% of jobs
$48.40 - $51.92
1% of jobs
$13
$25
$51
How much do from home rlhf jobs pay per hour?
As of Jul 3, 2026, the average hourly pay for from home rlhf in the United States is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.33 per hour, depending on experience, location, and employer.
What is a From Home RLHF job?
A 'From Home RLHF' job typically refers to remote positions where individuals contribute to Reinforcement Learning from Human Feedback (RLHF). These roles often involve providing feedback on AI model outputs, ranking responses, or labeling data to help train and improve artificial intelligence systems. Working from home, individuals can participate in tasks such as evaluating chatbot conversations, reviewing AI-generated content, or annotating data sets. RLHF jobs are popular in the AI and machine learning industry and usually require good communication skills and the ability to follow detailed instructions.
What are some common challenges faced by remote RLHF (Reinforcement Learning from Human Feedback) professionals, and how can they be managed?
Remote RLHF professionals often encounter challenges such as coordinating effectively with distributed teams, managing asynchronous feedback cycles, and staying updated on evolving research and tooling. To address these, it's important to establish clear communication channels, set regular check-ins, and proactively document progress and findings. Participating in online communities and internal knowledge-sharing sessions can also help maintain a sense of collaboration and keep you informed about new methodologies and best practices.
What is the difference between From Home Rlhf vs From Home Customer Service Representative?
| Aspect | From Home Rlhf | From Home Customer Service Representative |
|---|---|---|
| Required Credentials | High school diploma or equivalent, basic computer skills | High school diploma or equivalent, customer service experience |
| Work Environment | Remote, home-based | Remote, home-based |
| Industry Usage | Healthcare, insurance, or related fields | Retail, telecom, or service industries |
| Common Search Intent | Remote healthcare or insurance roles | Customer support jobs from home |
From Home Rlhf typically refers to remote roles in healthcare or insurance sectors, requiring specific industry knowledge. From Home Customer Service Representative positions are more general, focusing on customer support across various industries. Both roles are home-based, but they differ in industry focus and required experience.
What are the key skills and qualifications needed to thrive as a Remote RLHF (Reinforcement Learning from Human Feedback) Specialist, and why are they important?
To thrive as a Remote RLHF Specialist, you need a solid background in machine learning, reinforcement learning, and data analysis, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks (such as TensorFlow or PyTorch), and experience with RLHF pipelines or related systems are typically required. Strong problem-solving abilities, clear communication, and the ability to work independently make someone stand out in this position. These skills are essential to effectively develop, evaluate, and optimize AI models based on human feedback while collaborating remotely with interdisciplinary teams.
More about From Home Rlhf jobs
What cities are hiring for From Home Rlhf jobs? Cities with the most From Home 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 From Home Rlhf jobs? States with the most job openings for From Home Rlhf jobs include:
What job categories do people searching From Home Rlhf jobs look for? The top searched job categories for From Home Rlhf jobs are:
Full-time
Posted 26 days ago
Samsung Electronics rating
6.7
Based on 49 frontline employees who took The Breakroom Quiz
111th of 141 rated electronics manufacturers
Job description
Lab Summary:
Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory. Millions of Samsung users' lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung's unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us!
Position Summary:
Samsung Research America seeks a Director, Gen AI, Digital Healthto build on our exciting work in Gen AI for Health. We seek an outstanding leader with strong experience at the intersection of Generative AI/LLM and digital health. You must have a strong track record of success in research and development of AI / Gen AI based health or digital health products from university, healthcare delivery, or industry settings.
Director, Gen AI will lead a passionate team charged with developing, incubating, and launching Gen AI based health products and applications leveraging data from wearables, smartphone, health devices at home, and EMR/EHR health data. Our focus is to provide health information and insights to consumers that will help them advance their health goals.
We are looking for a leader who can create a vision for Gen AI applied to health (and socialize this vision with internal teams and stakeholders), develop new and innovative product concepts, continually enhance the team's skills and capabilities, provide strong technical and product development guidance, and hands-on coaching to deliver safe, effective, and impactful Gen AI products.
An ideal leader will have proven experience leading teams that have successfully developed and launched Gen AI products and applications in health. The Director, Gen AI, Digital Health must have technical depth and experience in Gen AI (LLMs, RAG, fine-tuning, prompt engineering, RLHF, human evaluation frameworks, responsible AI) as well as strong knowledge and experience in health / digital health (including with wearables, smartphones, health devices at home, and EMR/EHR data).
Position Responsibilities:
Experience requirements:
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Base Pay Range
$235,400-$365,650 USD
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory. Millions of Samsung users' lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung's unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us!
Position Summary:
Samsung Research America seeks a Director, Gen AI, Digital Healthto build on our exciting work in Gen AI for Health. We seek an outstanding leader with strong experience at the intersection of Generative AI/LLM and digital health. You must have a strong track record of success in research and development of AI / Gen AI based health or digital health products from university, healthcare delivery, or industry settings.
Director, Gen AI will lead a passionate team charged with developing, incubating, and launching Gen AI based health products and applications leveraging data from wearables, smartphone, health devices at home, and EMR/EHR health data. Our focus is to provide health information and insights to consumers that will help them advance their health goals.
We are looking for a leader who can create a vision for Gen AI applied to health (and socialize this vision with internal teams and stakeholders), develop new and innovative product concepts, continually enhance the team's skills and capabilities, provide strong technical and product development guidance, and hands-on coaching to deliver safe, effective, and impactful Gen AI products.
An ideal leader will have proven experience leading teams that have successfully developed and launched Gen AI products and applications in health. The Director, Gen AI, Digital Health must have technical depth and experience in Gen AI (LLMs, RAG, fine-tuning, prompt engineering, RLHF, human evaluation frameworks, responsible AI) as well as strong knowledge and experience in health / digital health (including with wearables, smartphones, health devices at home, and EMR/EHR data).
Position Responsibilities:
- Lead a globally distributed Gen AI for Health team with strong vision and inspirational leadership
- Develop product concepts that are innovative, bold, and cutting-edge to help consumers achieve their health goals and establish the team's leadership in Gen AI for Health
- Ensure research excellence in Gen AI / LLM (e.g. innovative product concepts or methods, IP, scientific publications)
- Ensure a robust product pipeline and ensure projects reach launch / commercialization milestones
- Ensure continued expansion of the team's skills and capabilities in Gen AI and software development
- Establish and maintain industry standard software development processes in the team, leveraging modern tool chains
- Provide proactive, hands-on coaching and mentorship
Experience requirements:
- Ph.D./Masters in a technical or health field (e.g. Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Biological Sciences or health sciences) or equivalent combination of education, training, and experience
- 14+ years of experience at the intersection of AI and Digital Health with a track record of launching innovative products
- Demonstrated experience in leading globally distributed teams and mentoring managers
- Strong technical depth and experience in Gen AI / LLM (e.g. RAG, fine-tuning, prompt engineering, RLFH, human factors, Red teaming, safety and constitutional factors)
- Knowledge and experience in digital health, including wearables, smartphones, apps, and clinical health data
- Working knowledge of the healthcare delivery and experience working with wellness and health data
- Understanding of human factors and behavioral science necessary to develop safe and effective Gen AI products for health
- Recognition of research and technical contributions (e.g. publications in relevant journals such as NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL are a plus)
- Familiarity with health data and privacy policies (e.g. HIPAA)
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Base Pay Range
$235,400-$365,650 USD
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
What Samsung Electronics employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Samsung Electronics
Sourced by ZipRecruiter
Industry
Appliances and electrical and electronics wholesalers, technology, communication and media and manufacturing
Company size
10,000+ Employees
Headquarters location
Ridgefield Park, NJ, US