Experience optimizing model routing, inference costs, RLHF, or AI evaluation pipelines, along with ... Fully remote role with flexibility to work across Europe while based in the United Kingdom.
New
Experience optimizing model routing, inference costs, RLHF, or AI evaluation pipelines, along with ... Fully remote role with flexibility to work across Europe while based in the United Kingdom.
New
$50.25 - $63.75/hr
... RLHF, AI governance frameworks, or infrastructure-as-code tools (Terraform, AWS CDK). Benefits * Fully remote-friendly role with flexibility to work from Romania or within supported regions.
$50.25 - $63.75/hr
... RLHF, AI governance frameworks, or infrastructure-as-code tools (Terraform, AWS CDK). Benefits * Fully remote-friendly role with flexibility to work from Romania or within supported regions.
Military Writing Expert SME: Operations, Logistics, and Medical Logistics - Class VIII
Saint Louis, MO · On-site +1
$57.90/hr
Operations, Logistics, and Medical Logistics (Class VIII) - Remote Opportunity Purpose: We are ... RLHF). * Workflow Optimization: Partner with the operations team to refine data pipelines, scaling ...
New
Military Writing Expert SME: Operations, Logistics, and Medical Logistics - Class VIII
Saint Louis, MO · On-site +1
$57.90/hr
Operations, Logistics, and Medical Logistics (Class VIII) - Remote Opportunity Purpose: We are ... RLHF). * Workflow Optimization: Partner with the operations team to refine data pipelines, scaling ...
New
Remote Rlhf information
How does a Remote RLHF (Reinforcement Learning from Human Feedback) specialist typically collaborate with other team members?
A Remote RLHF specialist often works closely with data scientists, machine learning engineers, and product managers to design and refine AI models using human feedback. Collaboration usually happens through regular virtual meetings, cloud-based code repositories, and shared annotation tools. The role requires clear communication to ensure that human feedback is accurately integrated into the learning process and that model improvements align with project goals. Being proactive in sharing findings and challenges is key, as team members may be distributed across different time zones.
What is the difference between Remote Rlhf vs Remote Rlhf?
| Aspect | Remote Rlhf | Remote Rlhf |
|---|---|---|
| Credentials | Typically requires certification in mental health or counseling, such as LPC or LCSW | Similar credentials, often with additional training in specific therapy methods |
| Work Environment | Remote, client-facing sessions via telehealth platforms | Remote, providing therapy or support services online |
| Industry Usage | Common in mental health, therapy, and counseling sectors | Used in mental health and support services, often interchangeably with Rlhf |
Remote Rlhf and Remote Rlhf are similar roles in mental health support, primarily differing in specific certifications or training focus. Both roles involve providing remote therapy or support services via telehealth platforms, making them highly comparable in work environment and industry usage.
What are the key skills and qualifications needed to thrive as a Remote RLHF (Reinforcement Learning from Human Feedback) Engineer, and why are they important?
To succeed as a Remote RLHF Engineer, you need expertise in machine learning, reinforcement learning, and programming languages like Python, often supported by an advanced degree in computer science or related fields. Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Strong problem-solving, communication, and self-management skills are vital for remote collaboration and interpreting human feedback effectively. These skills enable the development of robust AI systems that can learn efficiently from human input while ensuring productive teamwork in a distributed environment.
What is a Remote RLHF job?
A Remote RLHF (Reinforcement Learning from Human Feedback) job involves working with artificial intelligence systems, particularly large language models, to improve their performance using feedback from humans. In this role, individuals may annotate data, provide quality evaluations, or help design feedback mechanisms while working from a remote location. These jobs are crucial for ensuring AI models align better with human values and expectations, and they are often offered by AI research companies or organizations focused on machine learning. The work can involve tasks such as ranking AI-generated responses, identifying errors, and suggesting improvements. Remote RLHF positions are popular due to their flexibility and the opportunity to contribute to cutting-edge AI technology.
What are the most commonly searched types of Rlhf jobs in Missouri? The most popular types of Rlhf jobs in Missouri are:
What are popular job titles related to Remote Rlhf jobs in Missouri? For Remote Rlhf jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Rlhf jobs in Missouri look for? The top searched job categories for Remote Rlhf jobs in Missouri are:
- Remote Research Scientist Mechanical Engineering
- Remote Medical Data Annotation
- Contractual Machine Learning Government
- Executive Data Analyst
- Data Governance Program
- Remote Genomics Data Scientist
- Internship Ai Data Annotation
- Hourly Ai Data Annotation
- Remote Data Analyst University
- Data Science International Remote
What cities in Missouri are hiring for Remote Rlhf jobs? Cities in Missouri with the most Remote Rlhf job openings:
Full-time
Posted 2 days ago
New
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI based in Netherlands.
Join an ambitious engineering organization building next-generation AI systems that solve complex real-world cybersecurity challenges at scale. This is a rare opportunity for a hands-on technical leader to define AI strategy while remaining deeply involved in research, experimentation, and production development. You'll work alongside experienced engineering leaders to advance cutting-edge LLMs, autonomous agents, and evaluation frameworks that directly influence the company's competitive advantage. The role combines technical innovation, strategic decision-making, and product ownership in a fast-paced, remote-first environment where rapid iteration and measurable impact are valued. If you're passionate about agentic AI, production-grade machine learning, and solving problems that few organizations have tackled successfully, this position offers exceptional ownership and influence.
Accountabilities
- Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
- Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows and continuously improving model quality.
- Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
- Own fine-tuning pipelines, model selection, routing strategies, context engineering, and inference optimization using production data.
- Guide technical priorities across a high-performing AI engineering team, evaluating new research, frameworks, and methodologies based on business value and technical feasibility.
- Lead by example through active software development, architecture decisions, technical mentoring, code reviews, and collaborative problem-solving.
- Partner closely with engineering leadership, product teams, and customers to align AI capabilities with business needs and real-world security challenges.
- Continuously improve AI performance, scalability, cost efficiency, and production reliability while establishing long-term technical standards.
- Proven experience leading AI initiatives while remaining deeply involved in hands-on software development and technical execution.
- Demonstrated success designing, deploying, and maintaining production-grade LLM or agentic AI systems used by real customers.
- Deep understanding of transformer architectures, fine-tuning techniques (including approaches such as LoRA), inference optimization, and modern generative AI methodologies.
- Strong experience building evaluation frameworks for autonomous or non-deterministic AI systems, including trajectory analysis, benchmarking, and model assessment.
- Excellent programming skills with experience developing scalable machine learning systems in production environments.
- Experience working within fast-paced startup environments, driving projects from concept to deployment with minimal oversight.
- Strong technical leadership skills, including mentoring engineers, establishing engineering standards, and influencing cross-functional technical decisions.
- Outstanding analytical thinking, problem-solving abilities, and the capacity to make pragmatic decisions balancing innovation, performance, and operational cost.
- Excellent written and verbal communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Experience in cybersecurity, vulnerability management, offensive security, or AI-powered security platforms is highly desirable.
- Experience optimizing model routing, inference costs, RLHF, or AI evaluation pipelines, along with advanced academic research in machine learning, is considered a strong advantage.
- Competitive annual salary ranging from 180,000 to 250,000.
- Equity package ranging from 0.2% to 0.5%, offering significant long-term ownership potential.
- Fully remote role with flexibility to work across Europe while based in the United Kingdom.
- Opportunity to shape the AI strategy of a rapidly growing, venture-backed technology company.
- Direct influence on product direction as part of the engineering leadership team.
- Work alongside experienced engineering leaders with backgrounds in globally recognized technology companies.
- Opportunity to tackle some of the most advanced challenges in generative AI, autonomous agents, and cybersecurity.
- Strong career growth potential with a pathway toward executive AI leadership as the organization expands.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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