Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where ... from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers ...
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where ... from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
... from human feedback, or other advanced techniques to achieve fluid, engaging, and socially ... AI, and cognitive and social science to apply cutting-edge techniques to robot interaction ...
Insurance Specialist
$60 - $80/hr
Familiarity with AI training, model evaluation, human-feedback workflows, or data annotation projects. * Expertise in multiple insurance disciplines, including commercial or personal lines, property ...
Insurance Specialist
$60 - $80/hr
Familiarity with AI training, model evaluation, human-feedback workflows, or data annotation projects. * Expertise in multiple insurance disciplines, including commercial or personal lines, property ...
AI Product Engineer
San Francisco, CA · On-site
AI carries real operations here - supporting residents, triaging maintenance - so evaluation, observability, and human feedback loops matter as much as the model. Embed with Operators : Shadow real ...
AI Product Engineer
San Francisco, CA · On-site
AI carries real operations here - supporting residents, triaging maintenance - so evaluation, observability, and human feedback loops matter as much as the model. Embed with Operators : Shadow real ...
AI Product Engineer
San Francisco, CA · Hybrid
AI carries real operations here - supporting residents, triaging maintenance - so evaluation, observability, and human feedback loops matter as much as the model. Embed with Operators : Shadow real ...
AI Product Engineer
San Francisco, CA · Hybrid
AI carries real operations here - supporting residents, triaging maintenance - so evaluation, observability, and human feedback loops matter as much as the model. Embed with Operators : Shadow real ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded ...
Data Collection
San Jose, CA · On-site
$150K - $250K/yr
While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded ...
AI Software Engineer
San Francisco, CA · On-site
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
AI Software Engineer
San Francisco, CA · On-site
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions. * Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security ...
Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions. * Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security ...
AI Software Engineer
San Francisco, CA · On-site
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
AI Software Engineer
San Francisco, CA · On-site
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
Senior AI Model Fine-Tuning Engineer
Austin, TX · On-site
$103K - $142K/yr
... from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model ... AI and safety considerations, such as minimizing bias and handling adversarial inputs. • ...
Senior AI Model Fine-Tuning Engineer
Austin, TX · On-site
$103K - $142K/yr
... from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model ... AI and safety considerations, such as minimizing bias and handling adversarial inputs. • ...
Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions. * Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security ...
Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions. * Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security ...
Senior Python Developer (AI Evaluation & Benchmarking)
Texas City, TX · Remote
$80 - $100/hr
This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.
Senior Python Developer (AI Evaluation & Benchmarking)
Texas City, TX · Remote
$80 - $100/hr
This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.
Program Manager, Human Data
San Francisco, CA · On-site
$207K - $230K/yr
About the Team The Human Data team turns human feedback into reliable signals for training and ... Use internal tooling to assess labeled data and provide feedback to AI trainers * Think critically ...
Program Manager, Human Data
San Francisco, CA · On-site
$207K - $230K/yr
About the Team The Human Data team turns human feedback into reliable signals for training and ... Use internal tooling to assess labeled data and provide feedback to AI trainers * Think critically ...
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
Design and implement reinforcement learning from human feedback (RLHF) workflows for cybersecurity use cases. * Develop evaluation metrics for AI accuracy in threat detection, vulnerability ...
Data Collection
$150K - $250K/yr
While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded ...
Data Collection
$150K - $250K/yr
While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded ...
Software Engineer, Research - Human Data
San Francisco, CA · On-site
$230K - $385K/yr
... feedback loops. About the Role We're looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained ...
Software Engineer, Research - Human Data
San Francisco, CA · On-site
$230K - $385K/yr
... feedback loops. About the Role We're looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained ...
Ai Human Feedback information
See salary details
$26.5K - $29.5K
1% of jobs
$29.5K - $32.6K
3% of jobs
$32.6K - $35.6K
6% of jobs
$37.8K is the 25th percentile. Wages below this are outliers.
$35.6K - $38.7K
20% of jobs
$38.7K - $41.7K
18% of jobs
The median wage is $41.9K / yr.
$41.7K - $44.8K
17% of jobs
$46.9K is the 75th percentile. Wages above this are outliers.
$44.8K - $47.8K
13% of jobs
$47.8K - $50.9K
9% of jobs
$50.9K - $53.9K
6% of jobs
$53.9K - $57K
3% of jobs
$57K - $60K
3% of jobs
$26.5K
$44.2K
$60K
How much do ai human feedback jobs pay per year?
As of Sep 3, 2026, the average yearly pay for ai human feedback in the United States is $44,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $48,000.00 per year, depending on experience, location, and employer.
What is an AI human feedback?
An AI Human Feedback job involves evaluating and providing feedback on the outputs generated by artificial intelligence models. People in these roles assess the accuracy, relevance, and appropriateness of AI responses, helping improve their performance and reliability. This work is essential for training, testing, and refining AI systems to ensure they align with human expectations and ethical guidelines. AI Human Feedback roles can include tasks like rating chatbot answers, annotating data, and identifying biases or errors in AI-generated content.
What are the key skills and qualifications needed to thrive as an AI human feedback specialist?
To thrive as an AI Human Feedback Specialist, you need a solid understanding of language, critical thinking, and attention to detail, often supported by a background in linguistics, communication, or a related field. Familiarity with annotation tools, feedback platforms, and sometimes basic programming or data analysis skills is typically required. Strong written communication, analytical thinking, and the ability to provide constructive, unbiased feedback are essential soft skills. These competencies ensure the accuracy, fairness, and effectiveness of AI systems by enabling clear and high-quality human evaluation.
What are some typical challenges faced by professionals in AI human feedback roles and how can they be addressed?
Professionals in AI human feedback roles often encounter challenges such as ensuring consistency and objectivity when evaluating AI outputs, managing large volumes of data, and staying updated with evolving AI technologies. It’s important to develop clear guidelines and maintain open communication with team members to align on evaluation standards. Regular training sessions and peer reviews can help enhance accuracy and address potential biases, fostering a collaborative and supportive work environment.
What is the difference between Ai Human Feedback vs Data Annotator?
| Aspect | Ai Human Feedback | Data Annotator |
|---|---|---|
| Required Credentials | Basic technical skills, sometimes certifications in AI or data labeling | Minimal formal education, training often provided on the job |
| Work Environment | Remote or office-based, collaborative with AI teams | Primarily remote or on-site data labeling tasks |
| Industry Usage | AI development, machine learning projects | Data preparation for AI, machine learning, and analytics |
| Search & Comparison Intent | Understanding roles in AI feedback processes | Data labeling and annotation tasks for AI training |
Ai Human Feedback involves providing insights to improve AI models, often requiring some technical understanding. Data Annotators focus on labeling data to train AI systems, typically with minimal formal credentials. Both roles are essential in AI development but differ in scope and technical requirements.
More about Ai Human Feedback jobs
What cities are hiring for Ai Human Feedback jobs?
Cities with the most Ai Human Feedback job openings:
What states have the most Ai Human Feedback jobs?
States with the most job openings for Ai Human Feedback jobs include:
What job categories do people searching Ai Human Feedback jobs look for?
The top searched job categories for Ai Human Feedback jobs are:
Full-time
Posted 16 days ago
Amazon rating
7.4
Based on 7,146 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations
You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US