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Remote Prompt Engineering Jobs in Texas (NOW HIRING)

CSC Generation

Software Engineering Manager

Austin, TX · On-site +1

Austin (Hybrid) / Remote (United States) About the Role As our Software Engineering Manager , you ... Familiarity with AI/ML tooling, prompt engineering, or integrating LLM-based features into ...

Performacentric

ML Engineer

Dallas, TX · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

Kibo Commerce

Senior Software Engineer

Chandler, TX · Remote

$98K - $130K/yr

Deep expertise in prompt engineering, context engineering, and the use of AI Agents (e.g., Cursor ... Experience with Model Context Protocol (MCP) to connect AI tools to local and remote data sources.

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Gainwell Technologies LLC

Expert AI Engineer

Dallas, TX · Remote

$147K - $210K/yr

... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · Remote

$147K - $210K/yr

... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Gainwell Technologies LLC

Expert AI Engineer

Austin, TX · Remote

$147K - $210K/yr

... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

MatchPoint Solutions

AI Engineer - Claude

Seabrook, TX · On-site +1

$80 - $100/hr

Remote - USA Employment Type: Contract Pay Range: $80/hr - $100/hr - Key Responsibilities We are ... prompt engineering, workflow automation, API development, and cloud deployment. MatchPoint ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

DTN

Software Engineer - AI Core Team

Austin, TX · On-site +1

$101K - $124K/yr

Integrate and fine-tune large language models (LLMs), including prompt engineering, model ... REMOTE #LI-HYBRID #LI-TH1 About DTN: DTN is a global data and technology company helping ...

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All JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Texas

Remote Prompt Engineering information

See Texas salary details

$16

$30

$44

How much do remote prompt engineering jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote prompt engineering in Texas is $30.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $35.62 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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, and why are they important?

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.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models for various applications. Demand for prompt engineers is increasing, especially for roles involving natural language processing, AI model tuning, and familiarity with tools like GPT and other large language models.

How to make $1000 a week remote?

Remote prompt engineering involves creating and refining prompts for AI models, and experienced professionals can earn around $20 to $50 per hour. To make $1000 weekly, one would need to work approximately 20 to 50 hours at this rate, often requiring strong language skills, familiarity with AI tools, and consistent project availability. Building a portfolio and gaining certifications can help increase earning potential in this field.

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 most commonly searched types of Prompt Engineering jobs in Texas? The most popular types of Prompt Engineering jobs in Texas are:
What are popular job titles related to Remote Prompt Engineering jobs in Texas? For Remote Prompt Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Texas look for? The top searched job categories for Remote Prompt Engineering jobs in Texas are:
What cities in Texas are hiring for Remote Prompt Engineering jobs? Cities in Texas with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Posted 3 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.

This position is temporarily remote.