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Remote Deep Learning Engineer Jobs in Georgia (NOW HIRING)

Outlier AI

This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits ... Were looking for people with * 2+ years of experience in backend engineering, AI automation, or ...

Outlier AI

This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits ... Were looking for people with * 2+ years of experience in backend engineering, AI automation, or ...

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Remote Deep Learning Engineer information

See Georgia salary details

$9.3K

$70.8K

$118.2K

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

As of May 28, 2026, the average yearly pay for remote deep learning engineer in Georgia is $70,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $117,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are popular job titles related to Remote Deep Learning Engineer jobs in Georgia? For Remote Deep Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Georgia look for? The top searched job categories for Remote Deep Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Deep Learning Engineer jobs? Cities in Georgia with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Machine Learning Engineer - Coding - Remote

Machine Learning Engineer - Coding - Remote

Outlier AI

Milton, GA • Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Outlier helps the worlds most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems.


About the opportunity:

  • Outlier is looking for skilled software experts to help train generative AI models.
  • This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits your schedule.


You may contribute your expertise by

  • Developing objective, verifiable criteria (rubrics) to evaluate system performance and ensure outputs meet strict functional requirements.
  • Reviewing system logs and "trajectories" to refactor code, improve execution paths, and reach a "Golden Path" of perfect reliability
  • Testing systems for vulnerabilities, including improper data exposure, unauthorized access escalations, and edge-case failures.


Were looking for people with

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors



Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output
  • Hands on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.


Payment:

  • Project work: Earn up to USD $35 per hour for core project work
  • Additional incentives: On average, Outlier Contributors earn an additional 7.5% on top of the core project rates through Missions Outlier's version of surge pricing. The top quartile of contributors boost their earnings by an average of 11%.
  • Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.


PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the Outlier Privacy Policy and our internal policies and programs designed to protect personal data.

This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.

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