The role involves training and evaluating AI models, ensuring technical accuracy, and providing high-quality human feedback to align models with human intent. Responsibilities : • Evaluate LLM ...
The role involves training and evaluating AI models, ensuring technical accuracy, and providing high-quality human feedback to align models with human intent. Responsibilities : • Evaluate LLM ...
Building AI agents that take real actions is the easy part. Building agents that get better ... Translate user feedback, human evaluation data, and product signals into concrete training and ...
Building AI agents that take real actions is the easy part. Building agents that get better ... Translate user feedback, human evaluation data, and product signals into concrete training and ...
... human feedback through designing RLHF-style voting systems or analyzing human-AI interaction logs. • Work on LLM infrastructure including building data processing backend, deterministic and ...
... human feedback through designing RLHF-style voting systems or analyzing human-AI interaction logs. • Work on LLM infrastructure including building data processing backend, deterministic and ...
... human feedback necessary to align models with human intent, safety, and helpfulness. • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts ...
... human feedback necessary to align models with human intent, safety, and helpfulness. • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts ...
... human feedback necessary to align models with human intent, safety, and helpfulness. • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts ...
... human feedback necessary to align models with human intent, safety, and helpfulness. • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts ...
You'll design and implement advanced methods to align human feedback with the training of cutting-edge AI models, including techniques like Reinforcement Learning from Human Feedback (RLHF) , Direct ...
Quick apply
You'll design and implement advanced methods to align human feedback with the training of cutting-edge AI models, including techniques like Reinforcement Learning from Human Feedback (RLHF) , Direct ...
Building AI agents that take real actions is the easy part. Building agents that get better ... Translate user feedback, human evaluation data, and product signals into concrete training and ...
Building AI agents that take real actions is the easy part. Building agents that get better ... Translate user feedback, human evaluation data, and product signals into concrete training and ...
2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - United
Seattle, WA · On-site
$17 - $22.75/hr
NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning. In this role, you will work alongside ...
2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - United
Seattle, WA · On-site
$17 - $22.75/hr
NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning. In this role, you will work alongside ...
Threat Intel - AI / LLM Trainer - Make Your Own Hours
$49K - $66K/yr
The successful candidate will be involved in evaluating AI-generated prompts using reinforcement learning with human feedback to grade and improve AI quality. This role is an exceptional opportunity ...
Threat Intel - AI / LLM Trainer - Make Your Own Hours
$49K - $66K/yr
The successful candidate will be involved in evaluating AI-generated prompts using reinforcement learning with human feedback to grade and improve AI quality. This role is an exceptional opportunity ...
Applied Research Engineer
San Francisco, CA · On-site +1
Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference ...
Applied Research Engineer
San Francisco, CA · On-site +1
Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference ...
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
Quick apply
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
AI is an innovative company that empowers people to connect, learn, and tell stories through ... human feedback (RLHF) and fine-tuning. • Collaborate with engineering and product teams to ...
AI is an innovative company that empowers people to connect, learn, and tell stories through ... human feedback (RLHF) and fine-tuning. • Collaborate with engineering and product teams to ...
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
AI Engineer II
Overland Park, KS · On-site
$94K - $129K/yr
Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. * Work closely with linguists, product managers, and engineers to integrate AI ...
The successful candidate will be involved in evaluating AI-generated prompts using reinforcement learning with human feedback to grade and improve AI quality. This role is an exceptional opportunity ...
The successful candidate will be involved in evaluating AI-generated prompts using reinforcement learning with human feedback to grade and improve AI quality. This role is an exceptional opportunity ...
... from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science. • Code & Logic Verification: auditing AI ...
... from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science. • Code & Logic Verification: auditing AI ...
... human feedback data collection and annotation pipelines • Strong aesthetic sense and understanding of video quality assessment • Familiarity with alignment techniques such as constitutional AI or ...
... human feedback data collection and annotation pipelines • Strong aesthetic sense and understanding of video quality assessment • Familiarity with alignment techniques such as constitutional AI or ...
Founding AI Agent Engineer
Atlanta, GA · On-site
... human feedback, and iterative task refinement • Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization • Build internal tools and user-facing product ...
Founding AI Agent Engineer
Atlanta, GA · On-site
... human feedback, and iterative task refinement • Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization • Build internal tools and user-facing product ...
Gen AI Engineer
Plano, TX · On-site
$40 - $50/hr
Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS * AWS AI ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...
Quick apply
Gen AI Engineer
Plano, TX · On-site
$40 - $50/hr
Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS * AWS AI ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...
Founding AI Agent Engineer
Cupertino, CA · On-site
... human feedback, and iterative task refinement • Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization • Build internal tools and user-facing product ...
Founding AI Agent Engineer
Cupertino, CA · On-site
... human feedback, and iterative task refinement • Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization • Build internal tools and user-facing product ...
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 1, 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:
$107K - $146K/yr
Full-time
Re-posted 5 hours ago
Job description
Job Summary:
Prolific is building the biggest pool of quality human data in the world, and they are seeking AI and Machine Learning Engineers to join their Expert Network. The role involves training and evaluating AI models, ensuring technical accuracy, and providing high-quality human feedback to align models with human intent.
Responsibilities:
• Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
• Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
• Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
• Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Qualifications:
Required:
• Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
• Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
• Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
• LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
• Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
• Analytical Critique: high attention to detail in spotting 'hallucinations,' biased outputs, or logical failures in AI-generated technical content.
• Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
• Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
• Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
• Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.
Prolific is building the biggest pool of quality human data in the world, and they are seeking AI and Machine Learning Engineers to join their Expert Network. The role involves training and evaluating AI models, ensuring technical accuracy, and providing high-quality human feedback to align models with human intent.
Responsibilities:
• Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
• Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
• Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
• Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Qualifications:
Required:
• Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
• Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
• Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
• LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
• Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
• Analytical Critique: high attention to detail in spotting 'hallucinations,' biased outputs, or logical failures in AI-generated technical content.
• Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
• Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
• Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
• Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.