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Remote Prompt Engineering Jobs in Houston, TX (NOW HIRING)

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Establish prompt engineering and data management best practices for transparency and governance ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Establish prompt engineering and data management best practices for transparency and governance ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Establish prompt engineering and data management best practices for transparency and governance ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Fish & Richardson

Senior eDiscovery Analyst

Houston, TX · Remote

$87K - $111K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... prompt engineering, model limitations and hallucination risk, human-in-the-loop quality control ...

YO AI Labs

Design Expert - Remote

Houston, TX · On-site +1

$30 - $70/hr

Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping ... engineer/vibecoder. * Experience at a product- or design-focused company, startup, or notable ...

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All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Houston, TX

Remote Prompt Engineering information

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How much do remote prompt engineering jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote prompt engineering in Houston, TX is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $36.49 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

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

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Houston, TX?

The most popular types of Prompt Engineering jobs in Houston, TX are:

What are popular job titles related to Remote Prompt Engineering jobs in Houston, TX?

For Remote Prompt Engineering jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineering jobs in Houston, TX look for?

The top searched job categories for Remote Prompt Engineering jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Prompt Engineering jobs?

Cities near Houston, TX with the most Remote Prompt Engineering job openings:

Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Houston, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $65,664 per year, or $31.6 per hour.

Remote Principal Agentic Software Engineer

Arrivia

Houston, TX • On-site, Remote

$128K - $172K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Set the standard for how arrivia builds with AI agents, and stay hands-on enough to build it yourself.
About the Role
As a Principal Agentic Software Engineer, you are a hands-on, product-minded, customer-focused full-stack engineer who sets technical direction across multiple products and platforms and personally builds the primitives other teams depend on. You still open the editor yourself, and you are a driving force behind how agentic development works at arrivia.
You do not advise from the sidelines. You direct AI coding agents through real, multi-step work, decide what becomes shared infrastructure, and make the build-vs-buy calls that shape our roadmap. Operating with broad autonomy and cross-organizational accountability, you own multiple domains or a critical platform.
Your work reaches millions of people. We build the travel and rewards platforms behind major banks, membership organizations, and travel brands, where members book real trips with real money and points, so trust is the product. The operating rhythms, launch gates, and quality standards you set let dependent teams move faster while protecting that trust.
You will balance short-term partner requests against long-term member trust, lead the one-way-door decisions in your areas, and define how AI coding agents reshape the way we build and operate at scale. You work across many technology domains, business teams, and offices in a fast-paced, highly collaborative environment.
What You'll Own
  • Technical direction: Set direction across multiple products and platforms, including AI infrastructure, data platforms, and shared primitives, and personally build the components that increase leverage for teams beyond your own.
  • Agentic engineering practice: Co-define our prompt libraries, MCP server patterns, quality gates for AI-generated code, and human-agent collaboration patterns, then get them adopted.
  • MCP integrations: Architect Model Context Protocol integrations that give AI agents secure, governed access to internal APIs, data sources, and platform services across teams.
  • Standards and simplification: Drive build-vs-buy decisions and convergence on strategic standards that reduce complexity rather than add to it.
  • Operating rhythms: Institutionalize prioritization mechanisms, AI launch checklists, and SLOs that raise quality and speed for dependent teams.
  • High-stakes decisions: Lead one-way-door decisions in your areas, minimize the chance of failure, and hold contingency plans for failure scenarios.
  • ROI and focus: Guide teams on what is worth pursuing and what to kill, and define what success looks like for your domains.
  • Data and evaluation culture: Standardize canonical metrics, AI eval frameworks, minimum sample sizes, and guardrail dashboards, and hold teams to them before anything scales.
  • Responsible AI: Co-define responsible-AI guardrails and review processes so high-risk use cases get scrutiny and post-incident learnings feed back into design standards.
  • Modernization: Turn legacy systems into scalable, cloud-native, agent-ready services through clear migration paths and architectural patterns.
  • Trust and safety: Safeguard members' sensitive data by defining security patterns and partnering with our Risk, Security, and Compliance teams.
  • People and norms: Mentor staff-level engineers and shape technical-leadership norms across individual contributors, so strong solutions emerge from teams and not from you alone.

What You'll Bring
You do not need every item below. We are excited by candidates with real strength across several of these areas.
  • A recent, hands-on track record. You have personally built and shipped working software in the last year or two, not only led teams who did.
  • 8 to 12 years of full-stack development and architecture experience building web applications and services, including technical leadership beyond a single team.
  • A bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
  • Advanced, hands-on use of AI coding agents such as Claude Code, Cursor, or GitHub Copilot, including directing them through larger multi-step work, with a track record of building practices that others adopt.
  • Strong proficiency in two or more of TypeScript/JavaScript, Python, and C#/.NET, plus modern frontend frameworks such as React, Next.js, Vue, or Angular.
  • Deep experience with RESTful API design, distributed systems, and microservices at scale, and cloud-native delivery on AWS, Azure, or GCP including multi-region or hybrid deployments.
  • Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and GraphDB.
  • Production experience with real-time streaming and distributed messaging such as Redis, Kafka, or RabbitMQ, plus containerization and orchestration with Docker and Kubernetes, advanced CI/CD, infrastructure-as-code, and modern DevOps or SRE practices.
  • A record of mentoring senior engineers and raising the bar through frameworks and standards, and of explaining complex AI and architectural ideas simply to executives and non-technical partners.

Benefits & Perks
  • Unlimited PTO
  • Exclusive employee travel rates
  • Travel discounts through arrivia programs
  • Medical, dental, and vision insurance
  • 401(k) with company participation

Who We Are
Why arrivia
At arrivia, we power travel loyalty and rewards programs for some of the world's leading brands. Our teams help millions of travelers book memorable experiences while delivering innovative technology and travel solutions to our partners. With a global workforce and a culture built on curiosity, ownership, authenticity, and collaboration, we're creating the future of travel.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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