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Remote Machine Learning Engineer Jobs in Claymont, DE

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Comcast

Data Scientist 2 - Virtual

PA · On-site +1

$66K/mo

Strong programming skills in Python and SQL; Spark/PySpark experience preferred. * Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based ...

Jj

Senior Scientist, In-Silico Formulations

Malvern, PA · On-site +1

D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or ... Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real ...

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Remote Machine Learning Engineer information

See Claymont, DE salary details

$30.7K

$125.6K

$188.8K

How much do remote machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning engineer in Claymont, DE is $125,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $151,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Claymont, DE? The most popular types of Machine Learning Engineer jobs in Claymont, DE are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Claymont, DE? For Remote Machine Learning Engineer jobs in Claymont, DE, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Claymont, DE look for? The top searched job categories for Remote Machine Learning Engineer jobs in Claymont, DE are:
What cities near Claymont, DE are hiring for Remote Machine Learning Engineer jobs? Cities near Claymont, DE with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Claymont, DE as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,623 per year, or $60.4 per hour.

AI/ML Data Contributor

TSMG

Philadelphia, PA • Remote

Full-time

Re-posted 13 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.