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Remote Amazon Work Jobs in Springfield, VA (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Hands-on experience working with AWS data services such as AWS Glue, Amazon S3, Lambda, and other ...

Deloitte

Databricks Manager

Mclean, VA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ...

Deloitte

Databricks Manager

Rosslyn, VA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ...

Deloitte

Databricks Manager

Washington, DC · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ...

Beth Page tech

Cloud Engineer

Washington, DC · Remote

$57 - $76.25/hr

Remote Type : Fulltime Responsibilities: We are seeking a cloud engineer to join our team of ... This position will work 100% remotely and focus on cloud migration, operations and engineering ...

Dark Wolf Solutions

Google Workspace Engineer

Herndon, VA · On-site +1

$70K - $135K/yr

The successful candidate will work in collaboration with the customer's security team and will be ... Experience operating and maintaining systems on Google Cloud Platform (GCP), Amazon Web Services ...

SpaceX

Technical Satellite Policy Analyst

Washington, DC · On-site +1

$85K - $100K/yr

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... Remote work is not considered * Must be willing to work extended hours and weekends as needed to ...

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All JobsAmazon Work JobsRemote Amazon Work JobsRemote Amazon Work Jobs in Springfield, VA

Remote Amazon Work information

See Springfield, VA salary details

$23K

$156.2K

$201.1K

How much do remote amazon work jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote amazon work in Springfield, VA is $156,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $174,400.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working a remote Amazon position?

A typical day in a remote Amazon role often involves scheduled log-in times, responding to customer inquiries or processing orders through online platforms, and managing tasks using Amazon's proprietary tools. Communication with supervisors and team members typically happens via chat, email, or virtual meetings. You may also be required to track your performance metrics and participate in ongoing training sessions. While the role is primarily independent, regular interaction and collaboration with your team are essential to ensure seamless operations and excellent customer service.

What are the key skills and qualifications needed to thrive in the Remote Amazon Work position, and why are they important?

To excel in Remote Amazon Work, candidates typically need strong organizational abilities, communication skills, and proficiency with computers, often supported by a high school diploma or equivalent. Familiarity with Amazon's platforms, customer service software, and basic productivity tools such as Microsoft Office or Google Workspace is highly beneficial. Outstanding time management, self-motivation, and problem-solving abilities set top performers apart in this role. These competencies enable remote employees to efficiently address customer or operational needs, collaborate virtually, and uphold Amazon’s service standards.

What is a Remote Amazon Work job?

A Remote Amazon Work job allows employees or independent contractors to work for Amazon from home or another remote location. These roles can include customer service, data entry, virtual assistance, software development, and more. Requirements vary based on the position, but most roles require a reliable internet connection and strong communication skills. Remote Amazon jobs offer flexibility and the opportunity to work for a global company without commuting to an office.

What are the most commonly searched types of Amazon Work jobs in Springfield, VA? The most popular types of Amazon Work jobs in Springfield, VA are:
What are popular job titles related to Remote Amazon Work jobs in Springfield, VA? For Remote Amazon Work jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Work jobs in Springfield, VA look for? The top searched job categories for Remote Amazon Work jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Amazon Work jobs? Cities near Springfield, VA with the most Remote Amazon Work job openings:
Remote Amazon Work jobs near you
Infographic showing various Remote Amazon Work job openings in Springfield, VA as of May 2026, with employment types broken down into 1% Internship, 27% Full Time, 69% Part Time, 2% Temporary, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $156,203 per year, or $75.1 per hour.
Machine Learning Engineer with SageMaker Experience

Machine Learning Engineer with SageMaker Experience

Maxiom Technology

Ashburn, VA • On-site, Remote

Full-time

Posted 7 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.