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Entry Level Remote Ai Prompt Engineer Jobs in Texas

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and output quality testing across hosted and self-managed AI platforms. * Build agentic AI workflows ...

Showing results 21-40

Entry Level Remote Ai Prompt Engineer information

What are the key skills and qualifications needed to thrive as an entry level remote AI prompt engineer?

To thrive as an Entry Level Remote AI Prompt Engineer, you need a solid understanding of language models, prompt engineering concepts, and basic programming skills, typically supported by a relevant degree or self-guided learning in AI or computer science. Familiarity with tools such as OpenAI's GPT platforms, prompt design frameworks, and collaboration software like Slack or GitHub is common. Strong analytical thinking, creativity, and clear written communication are important soft skills for drafting effective prompts and collaborating in a remote team. These skills ensure the delivery of high-quality AI outputs, foster problem-solving, and support efficient teamwork in a rapidly evolving field.

What is an entry level remote AI prompt engineer?

An Entry Level Remote AI Prompt Engineer is a professional who works from a remote location to craft, test, and refine prompts for AI systems, particularly those based on large language models like ChatGPT or GPT-4. Their primary responsibility is to design effective instructions that guide the AI to produce accurate, relevant, and high-quality responses. Entry level roles typically require basic knowledge of AI concepts, strong communication skills, and a keen attention to detail. These engineers often collaborate with development teams to improve AI outputs and may conduct research to optimize prompt strategies. It's a rapidly growing field as AI becomes more integrated into various industries.

What are some common challenges faced by entry level remote AI prompt engineers, and how can they overcome them?

Entry-level remote AI prompt engineers often encounter challenges such as interpreting ambiguous project requirements, balancing creative prompt crafting with technical accuracy, and effectively communicating with distributed team members. To overcome these, it's helpful to ask clarifying questions early, document prompt iterations, and actively participate in virtual team meetings or feedback sessions. Leveraging collaboration tools and setting regular check-ins with mentors or senior team members also helps in building confidence and improving prompt quality.

What is the difference between Entry Level Remote Ai Prompt Engineer vs Entry Level Remote Data Annotator?

AspectEntry Level Remote Ai Prompt EngineerEntry Level Remote Data Annotator
Required CredentialsBasic understanding of AI, programming knowledge (Python, NLP), online coursesAttention to detail, basic computer skills, training in annotation tools
Work EnvironmentRemote, independent work with AI teamsRemote, often repetitive tasks with data labeling platforms
Industry UsageAI development, NLP projects, machine learningData preparation, training datasets for AI models

While both roles are remote and entry-level, AI Prompt Engineers focus on crafting prompts for AI models, requiring some programming and AI knowledge. Data Annotators primarily label data to train AI systems, emphasizing attention to detail. Both are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Texas? The most popular types of Remote Ai Prompt Engineer jobs in Texas are:
What job categories do people searching Entry Level Remote Ai Prompt Engineer jobs in Texas look for? The top searched job categories for Entry Level Remote Ai Prompt Engineer jobs in Texas are:
What cities in Texas are hiring for Entry Level Remote Ai Prompt Engineer jobs? Cities in Texas with the most Entry Level Remote Ai Prompt Engineer job openings:
Infographic showing various Entry Level Remote Ai Prompt Engineer job openings in Texas as of August 2026, with employment types broken down into 62% Full Time, 15% Part Time, and 23% Contract. Highlights an 100% Remote job distribution.

AI Engineer -Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software is looking for an AI Engineer
Details:
AI Engineer
Location: 100% Remote
Duration: 6+ month contract-to-hire

Requirement:
  • Implemented GraphRag in AI/ML products (production deployments).
  • Strong Azure cloud experience.
  • Python/PySpark, Java programming.
  • Experience building UI with React/Angular, HTML, CSS, JavaScript.
  • Knowledge graph implementation (Neo4j preferred).
  • LLM optimization & improved response handling.

Responsibilities:
  • Design, develop, and deploy Decision Intelligence & AI-enabled products.
  • Work in Agile teams with engineers, scientists, product managers.
  • Guide architecture, infrastructure, and tools for AI/ML products.
  • Develop rapid prototypes and scale solutions in production.
  • Build MLOps pipelines for structured/unstructured data.
  • Implement observability, monitoring, and compliance with HIPAA/security standards.
  • Mentor engineers and drive innovation.

Preferred Skills:
  • Contributions to open-source AI/ML projects.
  • Healthcare industry knowledge.
  • Experience with medical terminology & clinical workflows.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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