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Ai Human Feedback Jobs (NOW HIRING)

CCS INC

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 ...

Allus AI (YC F25)

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 ...

Propio

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 ...

CCS INC

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) * AWS AI ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...

Propio Language Services

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 ...

Telus Digital

$225K - $255K/yr

... Human Feedback (RLHF), red teaming, and bespoke dataset creation across more than 20 domains and ... For data collection , we leverage a global AI Community of over one million contributors to deliver ...

Weekday AI

Management Consulting Expert

$150 - $220/hr

Previous experience with AI model evaluation, human feedback projects, or AI training initiatives. * Experience developing consulting methodologies, quality frameworks, or internal knowledge ...

mpathic

AI Safety Expert (Seattle or Boston)

Seattle, WA · On-site

$70 - $110/hr

You'll help identify model strengths and weaknesses, uncover failure modes, and provide the high-quality human feedback that makes AI systems safer and more useful. What You'll Be Doing * Evaluating ...

Steel Craft Corp

WI · On-site

$65 - $85/hr

Conduct new hire employee feedback meetings. * Conduct employee exit interviews and document ... Utilize AI-based HR tools and software (e.g., generative AI platforms, applicant tracking systems ...

New

STEEL CRAFT

WI · On-site

$55 - $85/hr

Conduct new hire employee feedback meetings.Conduct employee exit interviews and document feedback ... Utilize AI-based HR tools and software (e.g., generative AI platforms, applicant tracking systems ...

New

Scale AI, Inc.

$139 - $174/hr

... human feedback, and more. Scale AI's Public Sector team is growing in the Generative AI, Public Sector space, and we're seeking a Cyber focused Strategic Projects Lead to lead high-impact cyber ...

New

Weekday AI

Marketing Expert

$80 - $150/hr

Prior experience with AI evaluation, data annotation, human-feedback projects, or AI model training is preferred but not required. * Comfortable working independently while collaborating effectively ...

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Ai Human Feedback information

See salary details

$26.5K

$44.2K

$60K

How much do ai human feedback jobs pay per year?

As of Sep 4, 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?

AspectAi Human FeedbackData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training often provided on the job
Work EnvironmentRemote or office-based, collaborative with AI teamsPrimarily remote or on-site data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles in AI feedback processesData 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.

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What states have the most Ai Human Feedback jobs?

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Ai Human Feedback jobs near you
Infographic showing various Ai Human Feedback job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, 15% Part Time, and 25% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $44,245 per year, or $21.3 per hour.

Gen AI Engineer

CCS INC

Plano, TX • On-site

$40 - $50/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago

Job description

Benefits:
  • Bonus based on performance
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Qualifications:
  • 10+ years of software engineering and development experience
  • Strong experience in building and deploying GenAI applications in production.
  • Strong programming with Python and familiar with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
  • Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
  • Hands-on experience designing and building cloud-native solutions (preferably on AWS)
  • GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) will be a PLUS
  • Familiar  with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS
  • AWS AI certification
  • Financial Services experience
Responsibilities:
  • Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
  • Fine-tune foundation models using domain-specific data.
  • Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
  • Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
  • Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
  • Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).