ZipRecruiter

Log In

1

Text Prompt Engineering Jobs (NOW HIRING)

R Systems

AI Manager

Denver, CO · On-site

... text data such as call transcripts, customer interactions, or reviews No Less than 4 years in ML ... prompt engineering, agentic) * 8+ years of ML/Data Science Experience * Someone who has been ...

Judge Group, Inc.

Software Engineer - Advanced

Plano, TX · On-site

$90 - $95/hr

... prompt engineering , including: * System prompts, few-shot learning * Chain-of-thought reasoning * Tool usage and structured outputs * Experience building conversational AI systems : * Chatbots (text ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

Expertise in Natural Language Processing (NLP) for text and language generation. \n * Data management, preprocessing, and feature engineering skills. \n * Expertise with prompt engineering techniques ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... text classification, information extraction, or other NLP tasks -- and an understanding of where these systems fail. • Experience with both prompt engineering and fine-tuning approaches for ...

Shift Technology

OR · Hybrid

Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and ... Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in ...

Apex Systems

Sr. QA / Tester

San Antonio, TX · On-site

Prompt Engineering * Design, develop, and optimize prompts for various AI models, user personas ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

next page

Showing results 1-20

All JobsText Prompt Engineering Jobs

Text Prompt Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do text prompt engineering jobs pay per year?

As of Jul 21, 2026, the average yearly pay for text prompt engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Text Prompt Engineers when working with AI models, and how can they be addressed?

Text Prompt Engineers often encounter challenges such as ensuring prompts yield consistent and accurate responses from AI models and mitigating issues like model bias or ambiguous outputs. To address these, it’s important to iteratively test and refine prompts, collaborate closely with data scientists, and stay updated on model capabilities and limitations. Additionally, documenting prompt strategies and sharing learnings with the team can help streamline future projects and improve overall output quality.

What is text prompt engineering?

Text prompt engineering is the process of designing, refining, and optimizing prompts to guide AI language models, like ChatGPT, towards producing desired outputs. It involves understanding how AI interprets natural language and crafting instructions or queries that elicit specific, accurate, or creative responses. Prompt engineers experiment with phrasing, structure, and context to improve the model's performance on various tasks, such as content generation, summarization, or problem-solving. This emerging field is crucial for maximizing the effectiveness of AI in real-world applications.

What is the difference between Text Prompt Engineering vs Data Scientist?

AspectText Prompt EngineeringData Scientist
Required CredentialsKnowledge of NLP, AI, and prompt design; often self-taught or with specialized coursesDegree in Data Science, Computer Science, or related fields; certifications like CAP or DASCA
Work EnvironmentPrimarily remote, focused on AI platforms and language modelsVaries; offices, research labs, or remote, working with data analysis and modeling
Industry UsageUsed in AI development, chatbot design, and NLP applicationsApplied in finance, healthcare, tech, and research for data analysis and predictive modeling

While both roles involve working with data and AI, Text Prompt Engineering focuses on designing effective prompts for language models, whereas Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in their primary tasks and industry applications.

What are the key skills and qualifications needed to thrive as a Text Prompt Engineer, and why are they important?

To thrive as a Text Prompt Engineer, you need a strong grasp of natural language processing (NLP), prompt design best practices, and an understanding of AI model behavior, often supported by experience in linguistics or computer science. Familiarity with large language model platforms (such as OpenAI, Anthropic, or Google), version control tools, and prompt evaluation frameworks is common in this role. Exceptional critical thinking, creativity, and collaboration skills help engineers craft effective prompts and iterate quickly based on model outputs and team feedback. These competencies are crucial for maximizing AI performance, generating accurate results, and delivering real-world value from language models.
More about Text Prompt Engineering jobs
What job categories do people searching Text Prompt Engineering jobs look for? The top searched job categories for Text Prompt Engineering jobs are:
Text Prompt Engineering jobs near you
Infographic showing various Text Prompt Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
AI Manager

AI Manager

R Systems

Denver, CO • On-site

Other

Re-posted 5 days ago

Job description

About the Company


R Systems is a global digital product engineering and technology services provider founded in 1993, focused on AI, cloud-native services, and analytics for industries like tech, telecom, and finance. A Blackstone portfolio company (as of 2023), it specializes in software engineering, automation, and digital platform development.



About the Role


Responsibilities

• Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP No Less than 4 years in ML/NLP

• Deep expertise in machine learning, deep learning, and NLP, with experience working on text data such as call transcripts, customer interactions, or reviews No Less than 4 years in ML/NLP

•Proven track record of building and deploying production AI solutions, ideally in real-time or agent-assist environments

• Experience leading or mentoring AI teams while remaining technically close to the work

• Strong fit should be AI/ML-first; not primarily a software engineering manager or program manager background

• Preferred experience in use cases such as auto summarization, sentiment analysis, next best offer/action, or agentic


  • 8+ years of management experience
  • 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic)
  • 8+ years of ML/Data Science Experience
  • Someone who has been delivering AI/ML models into production (no research but real industry experience)
  • Strong ability to mentor, builds teams, and drive technical vision
  • Great communication skills

Apply