... is a remote position. We are seeking a highly skilled and innovative Generative AI Automation ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
... is a remote position. We are seeking a highly skilled and innovative Generative AI Automation ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
AI Automation Engineer -Remote
Stockton, CA · On-site +1
$202.38K - $234.20K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...
AI Automation Engineer -Remote
Stockton, CA · On-site +1
$202.38K - $234.20K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...
Remote Prompt Engineering information
See Modesto, CA salary details
$18.26 - $21.19
1% of jobs
$21.19 - $24.12
6% of jobs
$24.12 - $27.04
13% of jobs
$28.24 is the 25th percentile. Wages below this are outliers.
$27.04 - $29.97
12% of jobs
$29.97 - $32.90
12% of jobs
The median wage is $34.25 / hr.
$32.90 - $35.83
14% of jobs
$35.83 - $38.76
12% of jobs
$39.91 is the 75th percentile. Wages above this are outliers.
$38.76 - $41.68
15% of jobs
$41.68 - $44.61
7% of jobs
$44.61 - $47.54
5% of jobs
$47.54 - $50.47
3% of jobs
$18
$34
$50
How much do remote prompt engineering jobs pay per hour?
As of May 28, 2026, the average hourly pay for remote prompt engineering in Modesto, CA is $34.88, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $40.34 per hour, depending on experience, location, and employer.
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.
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 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.
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 is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?
| Aspect | Remote Prompt Engineering | Remote Data Annotation Specialist |
|---|---|---|
| Required Credentials | Basic understanding of AI, NLP, and scripting skills | Attention to detail, familiarity with annotation tools, no formal certifications required |
| Work Environment | Collaborative with AI/ML teams, remote setup | Independent annotation tasks, remote or on-site |
| Industry Usage | AI development, NLP projects, machine learning | Data labeling for AI training datasets |
| Search & Comparison Intent | Understanding roles in AI development, job requirements | Data 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 job categories do people searching Remote Prompt Engineering jobs in Modesto, CA look for? The top searched job categories for Remote Prompt Engineering jobs in Modesto, CA are:
What cities near Modesto, CA are hiring for Remote Prompt Engineering jobs? Cities near Modesto, CA with the most Remote Prompt Engineering job openings:
Other
Posted 5 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
Collect, preprocess, and analyze large datasets for training and validating AI models.
Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
Stay updated with the latest advancements in Generative AI and automation technologies.
Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
Document technical designs, workflows, and implementation strategies.
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
Proficiency in designing and deploying machine learning models, particularly in Generative AI.
Experience with automation tools (e.g., RPA, workflow orchestration tools).
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
Solid understanding of data structures, algorithms, and software design principles.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Preferred Qualifications:
Experience with NLP, image generation, or multimodal AI models.
Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
Familiarity with prompt engineering and fine-tuning Generative AI models.
Knowledge of MLOps practices for deploying and maintaining AI solutions.
Previous experience in automation or workflow optimization projects.
Why Join Us?
Work with cutting-edge Generative AI technologies.
Collaborate with a team of forward-thinking innovators.
Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020