1

Text Prompt Engineering Jobs (NOW HIRING)

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 ...

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 ...

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

Implement and experiment with advanced generative AI methods, including prompt engineering and ... Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer ...

... 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 ...

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 ...

Google Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... prompt engineering and TensorFlow into production systems. • Understanding model lifecycle ... text/text-to-speech. • Exceptional communication and stakeholder management skills, with the ...

next page

Showing results 1-20

Text Prompt Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do text prompt engineering jobs pay per year?

As of Jun 29, 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
Infographic showing various Text Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
PSDC - TAS1 A4 SC3 (Cloud Engineer)

PSDC - TAS1 A4 SC3 (Cloud Engineer)

Judge Group, Inc.

Mechanicsburg, PA • On-site

$55 - $60/hr

Other

Posted 27 days ago


Job description

Location: Mechanicsburg, PA Salary: $55.00 USD Hourly - $60.00 USD Hourly Description: Our client is currently seeking a PSDC - TAS1 A4 SC3 (Cloud Engineer)
Cloud Engineer -Mechanicsburg, PA 17050
Contract 1+ year
Work Location: Hybrid with two days onsite Mechanicsburg, PA
Work hours: 8AM to 5PM (hourlong lunch)
REQUIRED SKILLS:
Four-year college degree or equivalent technical study
Seven years of relevant experience as a Cloud Engineer- 7 Years REQUIRED
Azure cloud platform experience, including application, storage, and networking service- 5 Years REQUIRED
AWS cloud platform experience, including compute, storage, and networking service- 5 Years REQUIRED
Cloud-native application development and integration experience- 4 Years REQUIRED
HIGHLY DESIRED SKILLS:
.NET, .NET Core, and C#- 4 Years
Python programming- 4 Years
CI/CD and DevOps tool experience- 3 Years
AI model integration and prompt engineering- 1 Years
AI-driven application development, including chatbot, summarization, or semantic search use cases- 1 Years
AWS Certified Solutions Architect
Azure Fundamentals or Azure Solution Architect certification
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!