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Entry Level Ai Chatbot Prompt Engineer & Writer Jobs

... Engineering and Design to stay ahead of upcoming launches and ensure the AI chatbot and AI Copilot ... Strong writing and organizational skills for crafting and maintaining structured knowledge (e.g ...

Test and verify the AI chatbot feature to help ensure it returns accurate, helpful, and relevant ... Excellent writing, editing, proofreading, and communication skills. * Ability to explain complex ...

Senior/Lead Data Engineer with AI

$108K - $147K/yr

Required for automation, data processing, AWS Bedrock API integration, and chatbot development ... Understanding of prompt engineering, system messages, and model parameter tuning for optimal AI ...

AI servers and processing capabilities, component shortages and market implications, and antenna ... Experience writing for technical or engineering audiences * Comfortable interviewing SMEs ...

Join Galore Creative as an Entry-Level AI Content Writer and Ignite Your Career in the Exciting ... Work side-by-side with seasoned AI engineers and content creators to craft compelling, informative ...

... AI chatbot feature to help ensure it returns accurate, helpful, and relevant responses based on ... Required : • Excellent writing, editing, proofreading, and communication skills. • Ability to ...

Help develop GenAI-enabled features such as AI-assisted model insights, report summarization, chatbot integration, and prompt-based analytics. Collaborate with model developers, technology teams ...

AI Prompt and Skills Engineer

Chicago, IL

$74K - $95K/yr

Writes, tests and refines prompts across Tax, Assurance, Advisory and Wealth Management use cases, following the architectural standards and prompt patterns established by the Workflow Architect.

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Entry Level Ai Chatbot Prompt Engineer Writer information

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$39.5K

$55K

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How much do entry level ai chatbot prompt engineer & writer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for entry level ai chatbot prompt engineer & writer in the United States is $54,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ai Chatbot Prompt Engineer & Writer & Entry Level Ai Content Developer?

AspectEntry Level Ai Chatbot Prompt Engineer & WriterEntry Level Ai Content Developer
Required CredentialsBasic knowledge of AI, NLP, and writing skillsBasic understanding of AI, content creation, and writing
Work EnvironmentTech companies, startups, AI-focused teamsDigital media, marketing agencies, tech firms
Employer & Industry UsagePrimarily in AI and chatbot developmentAcross digital content and AI applications
Search & Comparison IntentYes, comparing roles in AI content creation

Both roles involve content creation and AI understanding, but the Prompt Engineer & Writer focuses on designing prompts for chatbots, while the Content Developer creates broader digital content. The Prompt Engineer emphasizes interaction design, whereas the Content Developer covers various media formats. Both roles are entry-level, require basic AI knowledge, and are used in tech and digital industries.

What are the key skills and qualifications needed to thrive as an Entry Level AI Chatbot Prompt Engineer & Writer, and why are they important?

To thrive as an Entry Level AI Chatbot Prompt Engineer & Writer, you need strong written communication skills, basic understanding of conversational AI, and a relevant degree or experience in writing, linguistics, or computer science. Familiarity with prompt engineering platforms, AI tools like ChatGPT, and content management or collaboration software is often required. Creative problem-solving, adaptability, and attention to detail are standout soft skills for this role. These abilities are crucial to crafting effective prompts, refining chatbot responses, and ensuring engaging user interactions.

What is an Entry Level AI Chatbot Prompt Engineer & Writer?

An Entry Level AI Chatbot Prompt Engineer & Writer is responsible for creating, testing, and refining the prompts and responses that guide AI chatbots in conversations. This role involves understanding user intent, designing clear and effective dialogue flows, and ensuring the chatbot communicates naturally and accurately. As an entry-level position, it typically requires strong writing skills, attention to detail, and a basic familiarity with AI or natural language processing tools. The goal is to help improve the chatbot’s ability to interact with users and provide helpful, engaging responses.

What are some common challenges faced by entry-level AI chatbot prompt engineers and writers, and how can they be addressed?

Entry-level AI chatbot prompt engineers and writers often encounter challenges such as understanding user intent, crafting prompts that yield accurate and appropriate responses, and maintaining a conversational tone that aligns with brand guidelines. Balancing creativity with technical requirements can also be tricky, particularly when working within the constraints of specific AI models. To overcome these challenges, it's important to collaborate closely with more experienced team members, continuously review chatbot outputs for quality assurance, and stay updated on best practices in prompt engineering. Regular feedback loops and testing help refine prompts and improve overall chatbot performance.
More about Entry Level Ai Chatbot Prompt Engineer Writer jobs
What cities are hiring for Entry Level Ai Chatbot Prompt Engineer & Writer jobs? Cities with the most Entry Level Ai Chatbot Prompt Engineer & Writer job openings:
What are the most commonly searched types of Ai Chatbot Prompt Engineer & Writer jobs? The most popular types of Ai Chatbot Prompt Engineer & Writer jobs are:
What states have the most Entry Level Ai Chatbot Prompt Engineer & Writer jobs? States with the most job openings for Entry Level Ai Chatbot Prompt Engineer & Writer jobs include:
Infographic showing various Entry Level Ai Chatbot Prompt Engineer & Writer job openings in the United States as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $54,981 per year, or $26.4 per hour.
AI Optimization Specialist, Support

AI Optimization Specialist, Support

Vanta

Remote

$129K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

At Vanta, our mission is to help businesses earn and prove trust.We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.
As a AI Optimization Specialist, Support, you will empower both our customers and Support team by building and maintaining the AI-powered knowledge that fuels our customer-facing chatbot and internal AI Copilot. You'll collaborate closely with Support, Customer Education, Product, and Engineering teams to ensure our AI tools deliver accurate, helpful responses while enhancing customer experience and support efficiency at scale.
This is a unique opportunity to shape the future of AI in support operations. You'll own the strategy, design, optimization, and performance tracking of our chatbot and internal Copilot, ensuring both are trusted, high-performing tools.
Our goal is to provide best-in-class Technical Support to our customers. Our team's mission: "We make complex solutions seem simple, and are leaders in customer education". We build strong partnerships with our customers through trust and transparency, for this reason our Technical Support Metrics are available publicly.
What you'll do as a AI Optimization Specialist, Support at Vanta:
Leverage and Test AI-Driven Knowledge
  • Collaborate with Customer Education to ensure AI tools (chatbot and Copilot) are drawing from the most effective and accurate content.
  • Identify performance gaps, broken experiences, or edge cases that indicate content or structural improvements are needed.
  • Provide feedback loops and insights to inform content updates based on how users interact with AI systems.

Enhance the Internal AI Copilot
  • Build and maintain internal knowledge resources (e.g., Guru cards, internal snippets) to help the support team resolve customer issues quickly and confidently.
  • Ensure the Copilot can answer internal process, policy, and ownership questions effectively.

Optimize Support's AI Chatbot Workflows
  • Own and refine chatbot workflows, guidance, and custom answers within Intercom.
  • Use data and real-time behavior to continuously iterate and improve.

Develop Deep Product and Customer Understanding
  • Use your exposure to customer interactions to shape better AI responses and identify high-value improvement opportunities.
  • Build strong internal product expertise to anticipate customer needs and support gaps.

Leverage Data for Continuous Improvement
  • Analyze chatbot and Copilot performance data to identify friction points and prioritize improvements.
  • Report actionable insights to stakeholders to drive buy-in and alignment.

Design and Optimize Conversational Flows
  • Design personalized and effective conversational flows using Intercom's AI capabilities.
  • Leverage historical data, customer feedback, and system behavior to reduce fallback rates and enhance automation.

Drive Strategic AI Design and Impact
  • Own and continuously improve how AI handles inbound support interactions, with a focus on increasing resolution rates, accuracy, and customer satisfaction.
  • Drive increases in AI involvement, resolution rates, and CSAT by strategically optimizing how AI is used across support touchpoints.
  • Use insights from real support conversations to guide strategic decisions around AI behavior, fallback handling, and escalation logic.

Align with Cross-Functional Roadmaps
  • Partner with Product, Engineering and Design to stay ahead of upcoming launches and ensure the AI chatbot and AI Copilot are prepared to support new or updated customer-facing workflows.
  • Anticipate where AI coverage may be impacted and proactively guide conversation design and fallback planning for those scenarios.

Stay Close to Customer Challenges Through Support
  • Take on a small volume of support tickets to stay grounded in real customer challenges, deepen product expertise, and identify opportunities to improve AI flows based on actual user needs and language.

How to be successful in this role:
  • Support Expertise: Proven experience in technical troubleshooting and handling customer inquiries (TSS/SR TSS preferred). This is core to understanding both customer needs and how to structure effective support content and flows.
  • AI Experience: Exposure to AI-powered support tools and a strong interest in developing expertise in chatbot design, automation, and conversation optimization.
  • Content Creation & Curation: Strong writing and organizational skills for crafting and maintaining structured knowledge (e.g., snippets, Guru cards, internal documentation) that feeds both chatbot and Copilot accuracy.
  • Problem-Solving & Iteration: Demonstrated ability to identify gaps, anticipate edge cases, and iterate quickly. This includes thinking systematically about how to improve workflows and scale support through automation.
  • Product & Process Knowledge: Familiarity with internal tools and systems (e.g., Ask Ilma, Intercom Copilot) and how product areas interact. This ensures high-quality, relevant AI responses.
  • Cross-Functional Collaboration: Experience working with teams across Product, Engineering, and GTM to align AI and support strategies. Ability to advocate effectively for support needs in broader company discussions.
  • Data-Driven Mindset: Ability to interpret AI performance data, identify trends, and make insights-driven decisions to optimize chatbot and Copilot performance.
  • Bonus Technical Skills: Familiarity with APIs, JSON, or scripting languages (e.g., Python, JavaScript) to work more deeply with AI workflows and configurations. Not required, but helpful for advanced use cases or future evolution of the role.
  • Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
  • Must be authorized to work in the U.S. without the need for current or future employer sponsorship.

What you can expect as a Vanta'n:
  • Industry-competitive salary and equity
  • Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
  • 16 weeks paid Parental Leave for all new parents
  • Health & wellness stipend
  • Remote workspace, internet, and cellphone stipend
  • Commuter benefits for team members who report to the SF and NYC office
  • Family planning benefits
  • Matching 401(k) contribution with immediate vesting
  • Flexible PTO policy, plus 80 hours of Sick Time
  • 11 company-paid holidays
  • Virtual team building activities, lunch and learns, and other company-wide events!
  • Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.
#LI-remote
At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.
About Vanta
We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged.
Now more than ever, making security continuous-not just a point-in-time check- is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust- all in a way that's real-time and transparent.
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.