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Remote Prompt Engineer - Evening Jobs (NOW HIRING)

BOLD

Senior Prompt Designer II

OR · Remote

$101K - $108K/yr

You will support Content, Engineering, Data, and Product teams; acting as the expert who bridges ... SELECT ONE: #LI-Remote

BOLD

Senior Prompt Designer II

$120K - $160K/yr

You will support Content, Engineering, Data, and Product teams; acting as the expert who bridges ... SELECT ONE: #LI-Remote Individual pay is based on location, transferable skills, experience, and ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... Improve accuracy by employing systematic experimentation, prompt engineering, data and training ...

Portless

AI Engineer

... regressions, prompt drift, and model performance degradation * Work independently in a remote ... Strong programming skills in Python and/or TypeScript/JavaScript; comfortable building both backend ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and ...

Rockstar

Senior AI Engineer

$107K - $146K/yr

Our lean structure and remote team mean we can move fast while still delivering top-notch ... Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

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Remote Prompt Engineer Evening information

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How much do remote prompt engineer - evening jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for remote prompt engineer - evening in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Remote Prompt Engineer - jobs? The most popular types of Remote Prompt Engineer - jobs are:
Remote Prompt Engineer Evening jobs near you
Infographic showing various Remote Prompt Engineer - Evening job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $97,940 per year, or $47.1 per hour.
Machine Learning Engineer with SageMaker Experience

Machine Learning Engineer with SageMaker Experience

Maxiom Technology

Ashburn, VA • On-site, Remote

Full-time

Posted 22 days ago

Job description

Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications.

Position: Machine Learning Engineer
Location: Remote

Preferred Resource Location: LATAM

About Us:
Maxiom Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries.

Responsibilities:

- Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker.
- Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs.
- Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy.
- Design and implement experiments to evaluate model performance, iteratively improving results.
- Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
- Identify and troubleshoot issues related to model performance, data quality, and integration.
- Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring.
- Collaborate with software engineers to integrate machine learning solutions into our applications.
- Document your work, best practices, and findings to share knowledge across the team.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).
- Proven experience in developing and deploying machine learning models using Amazon SageMaker.
- Strong background in prompt engineering techniques for fine-tuning LLM models.
- Proficiency in programming languages such as Python for model development and experimentation.
- Solid understanding of natural language processing concepts and techniques.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker.
- Experience with data preprocessing, feature engineering, and data augmentation.
- Problem-solving skills to diagnose and address model performance and data-related issues.
- Excellent communication skills to collaborate effectively within multidisciplinary teams.
- Ability to adapt to evolving technologies and learn quickly in a fast-paced environment.

Bonus Skills:

- Publications or contributions to the machine learning community.
- Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies.
- Knowledge of DevOps practices for model deployment and monitoring.

Why Join Us:

- Opportunity to work on cutting-edge projects that push the boundaries of AI technology.
- Collaborative and inclusive work environment that values innovation and creativity.
- Access to resources and support for continuous learning and professional growth.
- Competitive compensation package and benefits.

If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Join us in our mission to create groundbreaking AI solutions that shape the future. Apply now by sending your resume and a cover letter.

Maxiom Technology is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.