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Remote Llm Training Jobs in Decatur, GA (NOW HIRING)

GenAI Systems Developer

Atlanta, GA ยท Remote

$185K - $215K/yr

You will work remotely in a remote-first environment alongside a highly skilled team of engineers ... Develop custom methods to test and validate LLM performance. * Interfaces & Integrations: Create ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

This is the emerging class of LLM-driven penetration-testing agents, built for production use by a ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Sr. Tax Manager (REMOTE)

Atlanta, GA ยท On-site +1

$134K - $167K/yr

MST or JD/LLM preferred. * Strong technical knowledge of U.S. international tax regulations ... or training. Your recruiter can share more about the specific salary range for your preferred ...

Applied AI Engineer

Atlanta, GA ยท On-site +1

$170K - $230K/yr

Fully Remote (in the US) Salary: $170-230k DOE About the Product We build visual operations and ... Build LLM and RAG workflows that reconcile detected assets with messy documentation, including ...

Tax Manager, Real Estate & Construction

Atlanta, GA ยท On-site +1

$106K - $139K/yr

Master's in Taxation, LLM, or related advanced degree preferred. * CPA license required. * Minimum ... Candidates who are not within commuting distance of a Crowe office may be considered for a remote ...

Remote Llm Training information

See Decatur, GA salary details

$14

$41

$75

How much do remote llm training jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote llm training in Decatur, GA is $41.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $52.55 per hour, depending on experience, location, and employer.

What are common challenges in remote LLM training, and how can they be addressed?

Professionals in remote LLM (Large Language Model) training roles often face challenges such as managing distributed team communication, ensuring data privacy, and handling large-scale computational resources. Staying organized with asynchronous collaboration tools and maintaining clear documentation can help streamline teamwork. Additionally, understanding cloud-based infrastructure and adhering to strict data security protocols are essential for handling sensitive datasets. Regular check-ins and knowledge-sharing sessions also foster a supportive and productive remote work environment.

What is the difference between Remote Llm Training vs Data Scientist?

AspectRemote Llm TrainingData Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, domain expertise
Work EnvironmentRemote, collaborative teams, AI/ML companiesRemote or on-site, diverse industries
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Remote Llm Training focuses on developing and fine-tuning large language models, requiring expertise in NLP and machine learning. Data Scientists analyze data to extract insights and build models across various industries. While both roles involve programming and data skills, Remote Llm Training is specialized in AI model development, whereas Data Scientists work on broader data analysis tasks.

What is remote LLM training?

Remote LLM training refers to the process of training large language models (LLMs), such as GPT or similar AI models, on distributed computing resources that are accessed remotely. This allows data scientists and AI engineers to leverage powerful hardware, like GPUs or TPUs, which may not be available locally. Remote LLM training is commonly used to handle the massive computational requirements of modern AI models and enables collaboration among teams in different locations. It also provides scalability, flexibility, and cost-effectiveness for organizations working on advanced AI projects.

What skills and qualifications are needed for remote LLM training?

To excel in Remote LLM Training, you need a strong background in machine learning, natural language processing, and computer science, often demonstrated by a relevant degree or industry experience. Familiarity with frameworks like PyTorch or TensorFlow, experience with large-scale data management, and knowledge of distributed computing systems are typically required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills in this remote, collaborative environment. These competencies ensure efficient model training, high-quality output, and seamless teamwork across distributed teams.
What are popular job titles related to Remote Llm Training jobs in Decatur, GA? For Remote Llm Training jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Llm Training jobs in Decatur, GA look for? The top searched job categories for Remote Llm Training jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Llm Training jobs? Cities near Decatur, GA with the most Remote Llm Training job openings:
Infographic showing various Remote Llm Training job openings in Decatur, GA as of July 2026, with employment types broken down into 74% Full Time, 15% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,722 per year, or $41.2 per hour.

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Atlanta, GA โ€ข Remote

$51.76 - $77.74/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Job description

About Quora:

Quoraโ€™s mission is to grow and share the worldโ€™s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's โ€œcoordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the worldโ€™s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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