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

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

... ships Remote-first, technically rigorous team that takes production quality seriously WHAT YOU'LL ... Engineering, or equivalent experience Preferred: Experience testingAI-powered applications- prompt ...

Showing results 41-49

Remote Prompt Engineering information

See Houston, TX salary details

$16

$31

$45

How much do remote prompt engineering jobs pay per hour?

As of Aug 13, 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 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 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 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 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.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.

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

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

Infographic showing various Remote Prompt Engineering job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $65,664 per year, or $31.6 per hour.

Full Stack .NET Architect - GenAI Experience (Remote)

Accenture

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 491 rated business services


Job description

This position is open to candidates located anywhere in the United States. Candidates are welcome to work remotely or out of one of our regional offices.

We are seeking a visionary Full Stack Engineering Architect with proven expertise in Generative AI (Gen AI) to drive the design and implementation of groundbreaking intelligent applications. The ideal candidate will possess deep technical acumen across front-end and back-end development, cloud architectures, and the latest advancements in AI and machine learning, particularly Gen AI platforms and techniques.

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  • Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities.

  • Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services.

  • Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products.

  • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences.

  • Establish and enforce software architecture best practices, coding standards, and agile development methodologies.

  • Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation.

  • Mentor engineers, championing technical excellence and continuous learning within the team.

  • Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

  • 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices.

  • Experience with Microsoft Azure OpenAI Service.

  • Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.).

  • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real-time data processing.

  • Track record of leading engineering teams and delivering complex projects from conception to production.

  • Excellent problem-solving, communication, and leadership skills.

  • Passion for innovation and staying ahead of Gen AI trends.

Preferred Skills

  • Knowledge of Agentic AI concepts, frameworks, and their practical applications.

  • Experience with prompt engineering, fine-tuning, and deploying custom Gen AI models.

  • Knowledge of ethical AI practices, responsible AI frameworks, and related governance.

  • Background in building AI-powered chatbots, recommendation engines, or creative content tools.

  • Familiarity with MLOps, model monitoring, and performance optimization.

We anticipate this job posting will be posted on2/16/2025 and open for at least 14 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Avanade

California $155,000-190,000

Cleveland $140,000-170,000

Colorado $140,000-170,000

District of Columbia $155,000-190,000

Illinois $150,000-180,000

Maryland $140,000-170,000

Massachusetts $140,000-170,000

Minnesota $150,000-180,000

New York $155,000-190,000

New Jersey $155,000-190,000

Washington $155,000-190,000

At Avanade, we are committed to ensure our people feel appreciated and empowered to succeed both personally and professionally.

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