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Remote Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

Remote (must reside in one of the following states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY ... AI agents, prompt engineering, and workflow automation. Demonstrated ability to connect AI ...

Remote is not an option , candidates must be willing to commute to one of the following hub ... Execute prompt manipulation, indirect prompt injection, and AI model misuse scenarios to evaluate ...

Showing results 21-26

Remote Prompt Engineer information

See Raleigh, NC salary details

$12

$54

$78

How much do remote prompt engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote prompt engineer in Raleigh, NC is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $72.45 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What are the most commonly searched types of Prompt Engineer jobs in Raleigh, NC?

The most popular types of Prompt Engineer jobs in Raleigh, NC are:

What are popular job titles related to Remote Prompt Engineer jobs in Raleigh, NC?

For Remote Prompt Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineer jobs in Raleigh, NC look for?

The top searched job categories for Remote Prompt Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Prompt Engineer jobs?

Cities near Raleigh, NC with the most Remote Prompt Engineer job openings:

Infographic showing various Remote Prompt Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,212 per year, or $54.4 per hour.

Marketing Operations & AI Strategist

Durham, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Job Title: Marketing Operations & AI Strategist Location-Type: Remote (must reside in one of the following states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY, MD, MI, MN, MO, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, VT, WA) Start Date: ASAP Duration: Permanent Compensation Range: $180,000 - $200,000 plus 15% Bonus Benefits: Medical (PPO and HDHP options via Client, including HSA with company contributions), Dental and Vision, FSA and Dependent Care Account, company-paid Life Insurance, STD and LTD, voluntary benefits (Supplemental Life, Critical Illness, Accident, Pet Insurance), 401(k) with up to 3% employer match and no vesting period, Flexible PTO, 10 company holidays, Parental Leave, Paid Volunteer Time Off, Employee Reimbursement Program (well-being, technology, or professional development). Annual performance bonus of 15%. Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a hands-on Marketing Operations & AI Strategist to architect and execute an AI-native transformation of the marketing function, owning both the strategic vision and the technical build across HubSpot, Salesforce, and adjacent GTM systems. Job Summary Define and execute the organization's AI strategy for marketing, designing and deploying AI-powered workflows, agents, and decision systems tied to measurable pipeline and revenue outcomes. Architect scalable marketing operations infrastructure across HubSpot, Salesforce, and related GTM tools, partnering with GTM Engineering on integrations and data flows. Build next-generation attribution models and AI-driven reporting systems that connect marketing activity to pipeline and revenue performance. Own lifecycle strategy and implementation, including intelligent lead scoring, routing, segmentation, and nurture using behavioral and firmographic data. Build a repeatable, scalable campaign operating system with standardized frameworks, templates, and QA processes. Eliminate manual and fragmented processes through automation and AI, replacing them with intelligent, optimized workflows. Drive adoption of new tools, systems, and ways of working across Marketing, Sales, GTM Ops, and Leadership, mentoring team members and elevating overall operations maturity. Minimum Requirements: 10 years of experience in Marketing Operations, Growth Operations, or Marketing Analytics within a B2B SaaS environment. Expert-level HubSpot proficiency (3-5 recent years) spanning campaign architecture, attribution, reporting, lead scoring, segmentation, and Salesforce integrations. Strong Salesforce expertise and deep understanding of marketing technology ecosystems, data architecture, APIs, integrations, and funnel analytics. Proven track record building, scaling, and optimizing marketing operations functions and systems from the ground up in a hands-on individual contributor capacity. Hands-on experience deploying AI into production marketing workflows using tools such as Claude, ChatGPT, Gemini, AI agents, prompt engineering, and workflow automation. Demonstrated ability to connect AI initiatives to measurable business outcomes including pipeline growth, revenue impact, and operational efficiency. Strong business acumen with the ability to translate complex data into clear, strategic recommendations for senior leadership. Preferred Qualifications: Experience building an AI-first marketing operations function from the ground up, including designing or managing AI agents or autonomous workflows in a production environment. Demonstrated ability to maintain code bases for technical marketing systems such as lead scoring models. Background in high-growth or transformation-stage SaaS companies with a track record of rebuilding attribution in complex GTM environments. Experience leading change management initiatives tied to the introduction of new technologies and Client operational approaches. Familiarity with development and architecture best practices and comfort working with APIs and debugging complex, multi-system integrations.