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Home Based Chatbot Train Ai Jobs in Raleigh, NC (NOW HIRING)

Senior Finance AI & Automation Developer

Raleigh, NC · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Compensation Range: $95,300.00 - $119,100.00 Compensation may vary based on applicant's work ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Design and create realistic business tasks and scenarios based on your professional experience ...

Clinical Nurse Educator-Home-Care

Durham, NC · On-site

$35.50 - $48.50/hr

Demonstrated knowledge of home-based care regulations, clinical workflows, and documentation requirements. Strong computer and technology skills with the ability to train and support clinicians in ...

Clinical Nurse Educator-Home-Care

Durham, NC · On-site

$38 - $51.75/hr

Demonstrated knowledge of home-based care regulations, clinical workflows, and documentation requirements. * Strong computer and technology skills with the ability to train and support clinicians in ...

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Home Based Chatbot Train Ai information

See Raleigh, NC salary details

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How much do home based chatbot train ai jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for home based chatbot train ai in Raleigh, NC is $14.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $17.31 per hour, depending on experience, location, and employer.

What is the difference between Home Based Chatbot Train Ai vs Customer Support Agent?

AspectHome Based Chatbot Train AiCustomer Support Agent
CredentialsBasic technical knowledge, training in AI toolsCustomer service certification often preferred
Work EnvironmentRemote, home-basedRemote or on-site customer service centers
Industry UsageAI development, tech companiesRetail, telecom, service industries
Job FocusTraining and refining chatbot responsesAssisting customers directly with inquiries

Home Based Chatbot Train Ai roles focus on training AI chatbots through data input and response refinement, often requiring technical skills. Customer Support Agents handle direct customer interactions, providing assistance and resolving issues. While both roles can be remote, their core functions and skill sets differ significantly.

What are popular job titles related to Home Based Chatbot Train Ai jobs in Raleigh, NC?

For Home Based Chatbot Train Ai jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Home Based Chatbot Train Ai jobs in Raleigh, NC look for?

The top searched job categories for Home Based Chatbot Train Ai jobs in Raleigh, NC are:

AI Prompt Engineer - Raleigh, Nc

Motion Recruitment Partners, LLC

Raleigh, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description


An enterprise cybersecurity group in Raleigh is seeking an AI Prompt Engineer to help expand an emerging security program centered around generative AI. The organization is evaluating advanced AI models from a security perspective and developing new ways to use generative models as part of automated security assessment, application testing, and vulnerability research.
This engineer will create sophisticated prompt-based testing workflows designed to make AI models perform targeted cyber analysis. Rather than focusing on basic chatbot prompting, the position involves developing reusable AI harnesses capable of providing the model with the proper context, instructions, and testing logic for activities including static and dynamic security testing, network exposure analysis, penetration-testing scenarios, port discovery, and certificate abuse detection.
Required Skills & Experience
  • Hands-on background designing sophisticated prompt strategies for generative AI
  • Practical cybersecurity knowledge, including attack surfaces, vulnerabilities, malicious behavior, and network traffic concepts
  • Software engineering or application development experience in languages such as Python, Go, C#, .NET, or similar
  • Ability to construct multi-step or context-rich LLM workflows rather than simple single prompts
  • Familiarity with one or more modern generative AI/model platforms
  • Experience storing, querying, or manipulating data using PostgreSQL, Elasticsearch, Cloud SQL, or related databases
  • Strong ability to explain previous AI projects, experimentation methods, and technical design decisions

Desired Skills & Experience
  • Exposure to application security and automated code-security testing
  • Background in offensive security, penetration testing, or vulnerability research
  • Familiarity with containerized or cloud-hosted applications
  • Experience with GKE or Kubernetes
  • Previous work evaluating the behavior or security of large language models
  • Experience operating in a research-oriented engineering environment

What You Will Be Doing
Daily Responsibilities
  • Engineer reusable prompt workflows that support AI-assisted security assessments
  • Create testing scenarios that push models to investigate applications, infrastructure, and potential attack surfaces
  • Develop prompting approaches for static and dynamic application-security analysis
  • Evaluate network, port, perimeter, and certificate-related security scenarios through GenAI workflows
  • Run experiments against different model providers and compare model behavior and effectiveness
  • Continuously adjust instructions, context, and harness logic based on testing results
  • Coordinate with data engineers so security output can be normalized, persisted, and analyzed downstream
  • Share actionable AI-discovered issues with threat-hunting and security-response teams

The Offer
  • Contract opportunity
  • Competitive hourly compensation

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.