... home to a dynamic team of technologists, product innovators, and business leaders who are ... If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
... home to a dynamic team of technologists, product innovators, and business leaders who are ... If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
Senior Machine Learning Engineer, Assistance 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, Assistance 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, Payments
$107K - $146K/yr
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Proven mastery of modern AI/LLM workflows - prompt engineering, fine tuning (LoRA, RLHF ...
Senior Machine Learning Engineer, Payments
$107K - $146K/yr
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Proven mastery of modern AI/LLM workflows - prompt engineering, fine tuning (LoRA, RLHF ...
... home to a dynamic team of technologists, product innovators, and business leaders who are ... If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
Quick apply
... home to a dynamic team of technologists, product innovators, and business leaders who are ... If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you!
Staff Machine Learning Engineer
San Francisco, CA · Remote
$212K - $301K/yr
... from unstructured text. * Experience with LLM fine-tuning techniques (LoRA, QLoRA, RLHF/RLVR) or ... A home office stipend. * 401(k) for US-based employees and RRSP for Canada-based employees. * Paid ...
Quick apply
Staff Machine Learning Engineer
San Francisco, CA · Remote
$212K - $301K/yr
... from unstructured text. * Experience with LLM fine-tuning techniques (LoRA, QLoRA, RLHF/RLVR) or ... A home office stipend. * 401(k) for US-based employees and RRSP for Canada-based employees. * Paid ...
... from all over the world, then this is the place for you! impact.com, the world's leading ... Leverage reinforcement learning (RLHF), adapter tuning or other methods to further tune the model ...
... from all over the world, then this is the place for you! impact.com, the world's leading ... Leverage reinforcement learning (RLHF), adapter tuning or other methods to further tune the model ...
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 Sep 4, 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?
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 the key skills and qualifications needed to thrive as a remote RLHF 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.
What are some common challenges faced by remote RLHF 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.
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
Medical, Dental, Vision, Retirement, PTO
Posted 6 days 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're building the agent platform that powers NewsBreak's next-generation AI products - from local-news synthesis agents that millions of Americans wake up to, to paid-growth agents that autonomously decide what to advertise and where. One platform, several agentic products, real users, real spend, real consequences.
We're hiring our first dedicated Agent Platform engineer to own this layer end-to-end. You'll join a small, focused team that ships weekly, works closely with product, and takes eval and observability seriously. Our codebase already runs multiple agents in production - and you'll help build what comes next.
Responsibilities
We offer a competitive benefits package:
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
$120,000-$220,000 USD
CPRA Privacy Notice for California Candidates
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're building the agent platform that powers NewsBreak's next-generation AI products - from local-news synthesis agents that millions of Americans wake up to, to paid-growth agents that autonomously decide what to advertise and where. One platform, several agentic products, real users, real spend, real consequences.
We're hiring our first dedicated Agent Platform engineer to own this layer end-to-end. You'll join a small, focused team that ships weekly, works closely with product, and takes eval and observability seriously. Our codebase already runs multiple agents in production - and you'll help build what comes next.
Responsibilities
- Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products - the foundational layer that other teams build on top of
- Design the eval and observability harness that runs thousands of agent traces per day, surfaces regressions before they ship, and turns production failures into actionable improvements
- Own the context engineering layer - retrieval, ranking, compression, and memory - that determines what makes it into a model call; contribute informed opinions on RAG vs. long-context vs. structured tool returns
- Integrate and benchmark new foundation models as they become available; make principled decisions about model selection across agents based on capability and cost
- Build user-facing surfaces - playgrounds, agent traces, control panels - and ship them to production; the internal product team relies on these tools daily
- Collaborate closely with product to take new agent concepts from early brief to working v1 in weeks
- Demonstrable experience shipping an AI product with real users - a side project, internal tool, open-source agent, or startup MVP you can speak to concretely
- Active, hands-on familiarity with modern AI development tooling (Cursor, Claude Code, Codex, v0, or equivalents) and a clear sense of how and when to apply them
- Ability to work end-to-end independently: backend, frontend, deployment, instrumentation, and iteration - without needing a fully defined spec to get started
- Developed perspective on AI agent design: context management, tool-calling protocols, eval strategy, and the tradeoffs between fine-tuning, prompting, and scaffolding
- Strong proficiency in Python (or Go / Node) with solid backend engineering experience - APIs, databases, queues, caches - and an understanding of how system design needs evolve with scale
- Sufficient frontend capability (React or Next.js) to ship functional internal tools independently
- Product sensibility: willingness to push back when something feels off, and a habit of thinking about the end user alongside the technical architecture
- Experience building or operating a multi-agent system in production (orchestration, sub-agents, MCP, skills)
- Hands-on experience with eval frameworks (LM-eval, custom harnesses, LLM-as-judge), prompt iteration workflows, or fine-tuning (LoRA / RLHF / DPO)
- A public artifact - GitHub repo, technical blog, paper, or demo - that reflects how you approach problems
- Experience integrating LLMs with complex, real-world data (news, ads, geo, user behavior) at scale
We offer a competitive benefits package:
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget
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
$120,000-$220,000 USD
CPRA Privacy Notice for California Candidates