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Assistant Chatgpt Prompt Jobs (NOW HIRING)

Kasmo Inc.

Prompt Engineer

Jersey City, NJ · On-site

... ChatGPT usage; no structured evaluation; no understanding of RAG or prompt security; no prompt ... assistants, and decision-support experiences. * Develop system prompts, few-shot examples, tool-use ...

Technogen, Inc.

Prompt Engineer

Jersey City, NJ · On-site

... ChatGPT usage; no structured evaluation; no understanding of RAG or prompt security; no prompt ... assistants, and decision-support experiences. * Develop system prompts, few-shot examples, tool-use ...

Virtual Assist

AI-Enhanced Virtual Assistant

$21.75 - $29.25/hr

Implement and manage AI tools (e.g., ChatGPT, Zapier, Notion AI) to automate and enhance business ... Provide prompt responses to client inquiries and escalate when needed * Use chatbots and AI to ...

Caltech

Administrative Assistant

Pasadena, CA · On-site

$19.75 - $26.50/hr

Learn and implement AI tools such as ChatGPT, Claude, CoPilot, and other relevant technologies to ... prompt and intended purpose. * Highly organized, able to manage competing priorities and meet ...

Sarian, Inc.

AI Chatbot Developer

Pennington, NJ · On-site

Strong experience with OpenAI's ChatGPT or GPT APIs. * Skilled in prompt engineering and managing conversational context. * Coding Assistants: Practical use of GitHub Copilot to accelerate ...

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Assistant Chatgpt Prompt information

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$29K

$48.4K

$69.5K

How much do assistant chatgpt prompt jobs pay per year?

As of Jul 28, 2026, the average yearly pay for assistant chatgpt prompt in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.

How does an Assistant ChatGPT Prompt specialist typically collaborate with other team members to enhance AI-generated content?

As an Assistant ChatGPT Prompt specialist, you will frequently work alongside product managers, data scientists, and developers to refine and iterate on prompt designs. Collaboration often involves brainstorming sessions, feedback reviews, and user testing to ensure prompts are effective, diverse, and aligned with project goals. Open communication and a willingness to experiment with creative approaches are key, as your input directly impacts the quality and relevance of AI responses. This collaborative environment fosters continuous learning and provides opportunities to contribute to innovative AI solutions.

What are the key skills and qualifications needed to thrive as an Assistant ChatGPT Prompt Engineer, and why are they important?

To thrive as an Assistant ChatGPT Prompt Engineer, you need a solid understanding of natural language processing, prompt engineering, and strong analytical skills, often supported by experience in computer science or linguistics. Familiarity with AI platforms such as OpenAI's GPT models, prompt optimization tools, and programming languages like Python is highly valuable. Creativity, problem-solving, and clear communication are standout soft skills for designing effective prompts and collaborating with cross-functional teams. These skills ensure the development of high-quality, user-friendly AI interactions that meet diverse user needs and business objectives.

What is an Assistant ChatGPT Prompt?

An Assistant ChatGPT Prompt is a carefully crafted input or instruction given to the ChatGPT AI to generate accurate, relevant, and helpful responses. These prompts guide the AI’s output by specifying the context, tone, or type of information needed for a particular task. People use Assistant ChatGPT Prompts to streamline workflows, generate creative content, answer questions, or automate repetitive tasks. Effective prompts help the AI understand the user’s intent and produce more precise and useful results.
More about Assistant Chatgpt Prompt jobs
What cities are hiring for Assistant Chatgpt Prompt jobs? Cities with the most Assistant Chatgpt Prompt job openings:
What are the most commonly searched types of Chatgpt Prompt jobs? The most popular types of Chatgpt Prompt jobs are:
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What job categories do people searching Assistant Chatgpt Prompt jobs look for? The top searched job categories for Assistant Chatgpt Prompt jobs are:
Assistant Chatgpt Prompt jobs near you
Infographic showing various Assistant Chatgpt Prompt job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,396 per year, or $23.3 per hour.
Prompt Engineer

Prompt Engineer

Kasmo Inc.

Jersey City, NJ • On-site

Other

Posted 4 days ago

Job description

Position:Prompt Engineer

Location: Jersey City, NJ

This role requires working onsite 4 days per week, and a F2F interview at the client’s Jersey City location is mandatory.
ss are eligible

LLM Interaction Design / Prompt Optimization / GenAI Application Quality

Level

Specialist Individual Contributor

Target / alternate titles

Prompt Engineer; LLM Interaction Designer; Conversational AI Designer; GenAI Specialist; AI Content Designer; NLP Prompt Specialist

Core keywords

prompt engineering, system prompt, few-shot, RAG, prompt evaluation, prompt injection, jailbreak, conversational AI, LangChain, Semantic Kernel, LlamaIndex, AWS Bedrock, Azure OpenAI, Copilot Studio, Power Platform

Recruiter red flags

Only casual ChatGPT usage; no structured evaluation; no understanding of RAG or prompt security; no prompt versioning; unable to quantify improvement or work within regulated business controls.

Role purpose

Design, test, govern, and continuously improve prompts, system instructions, conversation flows, and interaction patterns for AIRP LLM applications and related citizen-development experiences. The role ensures model outputs are accurate, grounded, safe, consistent, cost-aware, and aligned with business and compliance expectations.

Client-specific emphasis

  • Prompt work must support enterprise business use cases, not generic chatbot experimentation.
  • Reusable prompt patterns should be suitable for AIRP and, where applicable, Copilot Studio / Power Platform citizen-development scenarios.
  • Candidates must understand prompt security, sensitive data handling, citations/grounding, and structured evaluation.

Primary ownership

  • Prompt patterns, system instructions, response templates, and conversation policies for AIRP LLM use cases.
  • Prompt testing, versioning, evaluation, and quality-improvement workflows.
  • Reusable prompt libraries and guardrail patterns for business teams and responsible citizen development where applicable.

Key responsibilities

  • Design prompts for chatbots, copilots, RAG systems, document analysis, summarization, workflow agents, knowledge assistants, and decision-support experiences.
  • Develop system prompts, few-shot examples, tool-use instructions, response formats, escalation logic, citation behavior, and conversation policies.
  • Optimize prompts for KYC support, credit underwriting support, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening use cases.
  • Build reusable prompt libraries and templates aligned to enterprise standards, business domains, AIRP patterns, and citizen-development guardrails.
  • Evaluate prompt performance using metrics such as task success, groundedness, hallucination rate, completeness, safety, user satisfaction, latency, and token cost.
  • Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems and CI/CD workflows.
  • Support RAG quality by assessing retrieval context, chunking quality, source citation behavior, response synthesis, and missing-context behavior.
  • Conduct adversarial testing for prompt injection, jailbreaks, instruction conflicts, sensitive-data leakage, unsafe outputs, and unauthorized tool use.

Must-have candidate profile

  • Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations.
  • Hands-on experience with OpenAI APIs, Azure OpenAI, AWS Bedrock, Anthropic, LangChain, LlamaIndex, Semantic Kernel, Copilot Studio, or similar platforms.
  • Ability to debug LLM outputs using structured testing, error analysis, and iterative refinement.
  • Strong writing, analytical, communication, and stakeholder-management skills.
  • Understanding of prompt-security risks including prompt injection, jailbreaks, data leakage, hallucination, and instruction conflicts.
  • Ability to create repeatable prompt templates and evaluation evidence suitable for enterprise governance.

Preferred experience

  • Background in NLP, conversational AI, UX writing, technical writing, product design, knowledge management, business analysis, or financial-services operations.
  • Experience in financial services, legal, compliance, risk, operations, customer support, banker productivity, or enterprise knowledge domains.
  • Familiarity with Microsoft Copilot Studio, Power Platform, prompt registries, A/B testing, human review workflows, and evaluation tooling.

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