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Remote Research Engineer Jobs in Georgia (NOW HIRING)

AI Consulting Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing ... Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

Research Scientist Senior

Atlanta, GA ยท On-site +1

$94K - $120K/yr

Partners effectively across business, research, engineering, analytics, and product teams. * Evaluates emerging AI technologies and translates innovation into scalable business value. * Communicates ...

Participate in a weekly team reading group focused on research on culturally-responsive methods of ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

Research Scientist Senior

Atlanta, GA ยท On-site +1

$94K - $120K/yr

Partners effectively across business, research, engineering, analytics, and product teams. * Evaluates emerging AI technologies and translates innovation into scalable business value. * Communicates ...

Participate in a weekly team reading group focused on research on culturally-responsive methods of ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

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Showing results 1-20

Remote Research Engineer information

See Georgia salary details

$31.2K

$89.5K

$120.3K

How much do remote research engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote research engineer in Georgia is $89,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $87,800.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

What are the most commonly searched types of Research Engineer jobs in Georgia?

The most popular types of Research Engineer jobs in Georgia are:

What are popular job titles related to Remote Research Engineer jobs in Georgia?

For Remote Research Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Research Engineer jobs in Georgia look for?

The top searched job categories for Remote Research Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Research Engineer jobs?

Cities in Georgia with the most Remote Research Engineer job openings:

Infographic showing various Remote Research Engineer job openings in Georgia as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,515 per year, or $43 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$100 - $200/hr

Part-time

Posted 17 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.