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 ...
The role involves training and evaluating AI models by reviewing research papers, fact-checking AI outputs, and providing human feedback for model alignment. Responsibilities : • AI Evaluation ...
The role involves training and evaluating AI models by reviewing research papers, fact-checking AI outputs, and providing human feedback for model alignment. Responsibilities : • AI Evaluation ...
The role involves training and evaluating AI models by reviewing research papers, fact-checking AI outputs, and providing human feedback to enhance AI performance. Responsibilities : • AI ...
The role involves training and evaluating AI models by reviewing research papers, fact-checking AI outputs, and providing human feedback to enhance AI performance. Responsibilities : • AI ...
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 ...
... 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 ...
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 ...
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 ...
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 ...
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 ...
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 - Translation
Leawood, KS · On-site
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 - Translation
Leawood, KS · On-site
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 ...
... 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 ...
... 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 ...
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 ...
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 ...
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 ...
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 ...
... 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 ...
Quick apply
... 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 ...
... feedback loops • Identify trends, risks, and gaps in model performance and data quality • ... Interest in AI and how human feedback shapes model behavior Preferred : • Proficiency in ...
... feedback loops • Identify trends, risks, and gaps in model performance and data quality • ... Interest in AI and how human feedback shapes model behavior Preferred : • Proficiency in ...
... feedback loops • Identify trends, risks, and gaps in model performance and data quality • ... Interest in AI and how human feedback shapes model behavior Preferred : • Proficiency in ...
... feedback loops • Identify trends, risks, and gaps in model performance and data quality • ... Interest in AI and how human feedback shapes model behavior Preferred : • Proficiency in ...
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 ...
... 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 ...
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 Jul 27, 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 are the key skills and qualifications needed to thrive as an AI Human Feedback Specialist, and why are they important?
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 is an AI Human Feedback job?
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 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.
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.
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:
Job description
Building AI agents that take real actions is the easy part. Building agents that get better over time - that learn from feedback, correct mistakes, and optimize toward outcomes users actually care about - is one of the hardest open problems in production AI today.
That's what this team works on. As a Staff AI/ML Engineer on our Applied Research team, you'll own the technical direction for feedback-driven learning in DigitalOcean's agentic systems: reward modeling, preference optimization, reinforcement learning, and the evaluation infrastructure needed to measure whether any of it is actually working.
This is a senior IC role with broad technical scope. You'll set direction, run experiments at scale, and close the loop between user signals and model behavior - shipping research into production, not just writing it up.
What You'll Be DoingOwn the feedback learning roadmap
- Define and execute the applied research agenda for feedback-driven agentic AI - from reward modeling and preference optimization to online learning and human feedback loops.
- Translate user feedback, human evaluation data, and product signals into concrete training and optimization strategies.
- Stay close to the research frontier on RLHF, RLAIF, DPO, PPO, GRPO, and related methods and know when to apply them versus when simpler approaches win.
Build production learning systems
- Design and implement learning loops that improve agent reasoning, planning, tool use, and action execution over time.
- Build evaluation frameworks that measure what matters: reasoning quality, instruction following, task success, safety, and real user outcomes - at both offline and online scale.
- Run large-scale experiments that connect model changes to measurable improvements in user experience and business impact.
Provide technical leadership
- Set technical direction across modeling, experimentation strategy, evaluation design, and production readiness - without requiring direct management authority.
- Partner closely with product, engineering, design, and research teams to move work from prototype to shipped capability.
- Communicate complex AI systems clearly to both technical and non-technical stakeholders.
We're looking for engineers who have shipped real learning systems - not just prototyped them. You likely bring:
- 8+ years of experience building production AI/ML systems - LLMs, GenAI, agentic systems, recommendation, search, personalization, or applied research at scale.
- Hands-on experience improving AI systems through reinforcement learning, reward modeling, fine-tuning, human feedback, or preference optimization - with results you can point to.
- Strong understanding of agentic AI: reasoning, planning, tool use, action execution, instruction following, and self-correction.
- Strong software engineering in Python and at least one production systems language.
- The judgment to balance model quality, product impact, latency, reliability, cost, and maintainability - and communicate those tradeoffs clearly.
Strong signal
- Experience with agent evaluation, offline/online experiments, and human feedback loops in production.
- Direct experience with RLHF, RLAIF, DPO, PPO, GRPO, or related optimization techniques.
- Prior Staff, Senior Staff, Tech Lead, or equivalent senior IC experience.
Nice to have
- Master's or PhD in CS, ML, AI, or a related field - or equivalent depth demonstrated through industry work.
- Experience with production ML infrastructure: model serving, observability, data pipelines, feature stores, or experimentation platforms.
- Research contributions via publications, patents, open-source work, or demonstrated applied research impact in RL, reward modeling, evaluation, or recommendation systems.
- $271,000 - $216,800
*This is a hybrid role
JR: 2026-7947
#LI-Hybrid
About DigitalOcean
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
New York, NY, US
Year founded
2012