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Ai Prompt Creator Jobs (NOW HIRING)

CORSAIR

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

Implement RAG systems, vector retrieval pipelines, and prompt engineering strategies at scale ... CORSAIR has built a passionate base of loyal customers due to its gamer- and creator-centric design ...

Later

Senior AI Automation Engineer

Boston, MA · On-site +1

$113K - $148K/yr

By combining real creator relationships, trusted intelligence, and expert guidance, Later removes ... Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real ...

Webpushr

Social Media Coordinator

Atlanta, GA · On-site

... creator, and internet trends and quickly adapt relevant trends for our brands. * Use AI tools to ... Strong prompt-engineering skills , particularly for image and video generation. * Experience ...

Later

Senior Director, User Experience

Boston, MA · On-site +1

... AI-native, builder-first mindset. * Upskill the design team in applied prompt engineering ... creator behavior. * Translate research and usage data into design priorities that connect to ...

ShopMy

Agent Manager

OR · On-site +1

$15 - $19.75/hr

About the Role We are looking for a Product Manager for our AI agents. ShopMy is building a growing ... Own prompt and document quality, delegation shape, locked instructions, and agent boundaries for ...

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Ai Prompt Creator information

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How much do ai prompt creator jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai prompt creator in the United States is $36.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $51.68 per hour, depending on experience, location, and employer.

What is an AI prompt creator?

An AI Prompt Creator is a professional who designs and formulates effective prompts or instructions for artificial intelligence models, such as chatbots or language models, to generate accurate and relevant responses. Their work involves understanding how AI interprets language, experimenting with different phrasings, and optimizing prompts for specific tasks or industries. AI Prompt Creators help businesses and organizations use AI more effectively by ensuring the output aligns with their needs and goals. They may also analyze results and iterate on their prompts to improve performance over time.

What are the key skills and qualifications needed to thrive as an AI prompt creator, and why are they important?

To thrive as an AI Prompt Creator, you need a solid understanding of language models, creative writing, and a familiarity with AI systems, often supported by experience in linguistics or related fields. Proficiency with AI platforms (such as OpenAI GPT or similar), prompt engineering tools, and sometimes basic coding skills are typically required. Strong communication, problem-solving abilities, and adaptability help you craft effective prompts and iterate based on feedback. These skills are crucial for generating high-quality AI outputs, ensuring usability, and optimizing model performance for diverse applications.

What are some common challenges faced by AI prompt creators when collaborating with AI model developers?

AI Prompt Creators often encounter challenges such as aligning prompt designs with the technical constraints and capabilities of different AI models. Effective collaboration requires clear communication with model developers to ensure prompts elicit accurate, unbiased, and relevant responses. Additionally, balancing creativity with consistency and testing prompts across various scenarios can be demanding. Staying up-to-date with model updates and feedback loops is essential for continuous improvement and maintaining prompt quality.

What is the difference between Ai Prompt Creator vs Ai Content Writer?

AspectAi Prompt CreatorAi Content Writer
Required SkillsCreativity, understanding of AI models, prompt engineeringWriting, editing, SEO knowledge, content strategy
Work EnvironmentCollaborative with AI developers, tech-focusedContent teams, marketing departments
Industry UsageAI development, tech startups, creative agenciesMedia, marketing, publishing

While both roles involve working with AI, the Ai Prompt Creator focuses on designing prompts to generate desired outputs, whereas the Ai Content Writer creates written content based on AI-generated ideas or prompts. The roles overlap in understanding AI tools, but their primary functions differ in purpose and output.

How to become an AI prompt creator?

To become an AI prompt creator, develop strong writing and creative skills, understand how AI language models work, and gain experience with tools like ChatGPT or similar platforms. Building a portfolio of effective prompts and staying updated on AI advancements can improve job prospects in this field.
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Ai Prompt Creator jobs near you
Infographic showing various Ai Prompt Creator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $76,294 per year, or $36.7 per hour.

AI/ML Engineering Manager

CORSAIR

Milpitas, CA • On-site

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Corsair Gaming rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

67th of 160 rated electronics manufacturers

Job description


ABOUT THIS ROLE
CORSAIR is building a production-grade AI/ML capability spanning intelligent automation, agentic systems, predictive analytics, and data engineering. As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage stakeholders across functions to surface automation opportunities, and own the full AI/ML lifecycle end-to-end
WHAT YOU WILL DO
Technical Leadership (40%)
  • Lead and manage a team of engineers and contractors across multiple AI/ML and automation workstreams; own delivery standards, architecture quality, and team development
  • Architect agentic AI systems end to end: multi-agent orchestration, tool use, memory management, human-in-the-loop controls, and evaluation frameworks
  • Own the AI/ML technical roadmap; evaluate build vs. buy tradeoffs and align with VP-level stakeholders
  • Engage business stakeholders across functions to map workflows, identify automation opportunities, and translate operational requirements into AI-driven solutions

Individual Contribution (60%)
  • Design and ship production-grade agentic AI systems using modern LLM orchestration frameworks; own orchestration logic, state management, and output evaluation
  • Build durable, fault-tolerant automation pipelines using workflow orchestration tools such as Temporal; design for reliability, retry logic, and long-running distributed tasks
  • Develop and deploy predictive ML models; own the full lifecycle from feature engineering through production monitoring
  • Implement RAG systems, vector retrieval pipelines, and prompt engineering strategies at scale; apply LLM fine-tuning when it delivers better ROI than retrieval or prompting
  • Build and maintain data engineering pipelines (dbt, Dagster, Spark, Microsoft Fabric); diagnose data quality issues that affect AI system reliability
  • Own MLOps infrastructure: experiment tracking, model versioning, retraining pipelines, and drift detection

WHAT YOU BRING
Required
  • 6+ years in AI/ML engineering or applied data science, with at least 1-2 years in a technical lead role
  • Proven experience designing and deploying agentic AI systems in production: orchestration, tool use, memory, and evaluation
  • Strong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or equivalent) and cloud AI platforms (AWS Bedrock, Azure AI Foundry, or Microsoft Fabric)
  • Experience with durable workflow orchestration tools such as Temporal, Airflow, or Step Functions
  • Solid ML fundamentals and end-to-end pipeline ownership; experience with data engineering tooling (dbt, Dagster, Spark)
  • Demonstrated ability to lead engineers technically and communicate tradeoffs to VP-level stakeholders

Preferred
  • Experience in gaming, consumer electronics, or hardware/peripherals
  • Familiarity with LLM fine-tuning (LoRA, PEFT), vector databases, generative AI for images, or MLOps tooling (MLflow, W&B)
  • Exposure to Docker, Kubernetes, and CI/CD pipelines for ML workloads
  • Experience working cross-functionally with Product, Finance, Legal, and Operations stakeholders

For roles that are based at our headquarters in Milpitas, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.
Annual Salary Range $170,000-$210,000 USD
About Us
CORSAIR (NASDAQ:CRSR), founded in 1994, is a leading global developer and manufacturer of high-performance gaming and streaming gear. With 21 different product lines, CORSAIR offers a complete range of products that help digital athletes perform at their peak and enable streaming creators to produce studio-quality content for their fans. CORSAIR has built a passionate base of loyal customers due to its gamer- and creator-centric design philosophy, commitment to high performance, and professional quality.
The company has received more than 4,000 product awards and has a footprint that reaches customers in more than 75 countries. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators, SCUF Gaming, which builds custom-designed controllers for competitive gamers, ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops, Drop, a community-driven company that designs and curates enthusiast keyboards and peripherals, and Fanatec, a leading manufacturer of high-end sim racing hardware.
BENEFITS:
  • Comprehensive medical, dental, and vision benefits
  • Bonus
  • 401K Plan
  • Tuition Assistance
  • Employee Discount Purchase Program
  • Paid Parental Leave
  • Employee Stock Purchase Program
  • Generous paid time off and holidays
  • Pet Insurance

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