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Remote Ai Prompt Engineer Trainee Jobs in Scappoose, OR

Epiq

AI Software Engineer

Portland, OR · Remote

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Epiq

Software Engineer

Portland, OR · Remote

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team. This ... Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

CoorsTek

AI Deployment Engineer

Hillsboro, OR · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

New

HiddenLayer

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our ...

Varsity Tutors

ChatGPT Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... AI / LLM systems, including: * Tool-calling architecture * RAG pipelines * Prompt engineering and ...

DataAnnotation

Software Engineer - AI Trainer

Beaverton, OR · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Software Engineer - AI Trainer

Vancouver, WA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Software Engineer - AI Trainer

Portland, OR · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

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All JobsAi Prompt Engineer JobsRemote Ai Prompt Engineer Trainee JobsRemote Ai Prompt Engineer Trainee Jobs in Scappoose, OR

Remote Ai Prompt Engineer Trainee information

See Scappoose, OR salary details

$32.6K

$73.4K

$123.5K

How much do remote ai prompt engineer trainee jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote ai prompt engineer trainee in Scappoose, OR is $73,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $79,700.00 per year, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer Trainee?

A Remote AI Prompt Engineer Trainee is an entry-level professional who works remotely to learn how to design, test, and optimize prompts for artificial intelligence models, such as large language models. Their main responsibility is to develop effective queries or instructions that guide AI models to produce accurate and relevant outputs. Trainees often work under the supervision of experienced prompt engineers and participate in hands-on training, gaining practical experience with AI tools and prompt engineering best practices. This role is ideal for individuals interested in AI, natural language processing, and technology-driven problem solving.

What are the key skills and qualifications needed to thrive as a Remote AI Prompt Engineer Trainee?

To thrive as a Remote AI Prompt Engineer Trainee, you need a strong foundation in language proficiency, analytical thinking, and a basic understanding of artificial intelligence concepts, often complemented by coursework or certifications in computer science or related fields. Familiarity with AI platforms, prompt engineering tools, and collaborative systems like GitHub or Slack is typically expected. Creativity, attention to detail, and effective communication are standout soft skills for this position. These skills and qualities are vital for designing precise prompts, troubleshooting outputs, and collaborating efficiently in remote, cross-functional teams.

What are the typical challenges faced by a Remote AI Prompt Engineer Trainee when collaborating with cross-functional teams?

As a Remote AI Prompt Engineer Trainee, one common challenge is effectively communicating technical concepts and prompt design strategies with team members from non-technical backgrounds, such as product managers or UX designers. Since work is remote, navigating time zones and ensuring clear documentation can also be difficult. However, regular virtual meetings, proactive updates, and using collaborative tools help bridge these gaps, allowing trainees to contribute meaningfully to AI model development and refinement.

What is the difference between Remote Ai Prompt Engineer Trainee vs Remote Ai Prompt Engineer?

AspectRemote Ai Prompt Engineer TraineeRemote Ai Prompt Engineer
Required CredentialsBasic understanding of AI and prompts, often entry-level certifications or self-taughtAdvanced knowledge of AI, experience with prompt engineering, and relevant certifications
Work EnvironmentTraining programs, internships, or entry-level roles, often remoteFull-time remote positions, working on complex AI prompt development
Employer & Industry UsageTech companies, startups, AI service providers, focusing on learning and developmentEstablished companies, AI research labs, and product teams deploying AI solutions

The main difference between a Remote Ai Prompt Engineer Trainee and a Remote Ai Prompt Engineer is experience level and responsibility. Trainees are in learning phases, focusing on acquiring skills, while engineers are experienced professionals actively developing and optimizing AI prompts for real-world applications.

What cities near Scappoose, OR are hiring for Remote Ai Prompt Engineer Trainee jobs?

Cities near Scappoose, OR with the most Remote Ai Prompt Engineer Trainee job openings:

Remote Ai Prompt Engineer Trainee jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Portland, OR • Remote

Full-time

Re-posted 17 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.

Requirements

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.

Benefits

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.

Apply