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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 ...

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 ...

Senior Manager, Content Strategy

Atlanta, GA ยท On-site +1

$152K - $191K/yr

Experience with GEO/AEO: creating content structured for LLM comprehension and AI-powered search ... Pay is based on factors such as work experience, education, certification(s), training, skills, and ...

Remote Llm Training information

See Decatur, GA salary details

$14

$41

$75

How much do remote llm training jobs pay per hour?

As of Jul 11, 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 some common challenges faced by professionals in remote LLM training roles, 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 are the key skills and qualifications needed to thrive as a Remote LLM Training Specialist, and why are they important?

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.
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Military & IHL Domain Expert - AI Training - Remote

Military & IHL Domain Expert - AI Training - Remote

micro1 AI

Atlanta, GA โ€ข Remote

$50 - $90/hr

Part-time

Posted 12 days ago


Job description

Role Title: Military Operations & IHL Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Military Operations & IHL Experts to contribute to a prominent defense-policy and humanitarian-law project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters. You will leverage your deep understanding of warfighting, weapons targeting, defense operations, and international humanitarian law to support the development of frameworks that responsibly evaluate military and humanitarian scenarios. This is a unique opportunity to influence technology at the intersection of operational expertise and conflict ethics while working alongside other experts at the forefront of these domains.


Scope of Work

  1. Develop comprehensive taxonomies for military-use and defense operations within diverse conflict contexts.
  2. Create dual-use triage frameworks that help distinguish between military and civilian applications of technology and knowledge.
  3. Establish clear boundaries for prohibited assistance under international humanitarian law, providing structured input for AI training and evaluation.
  4. Design conflict-risk rubrics and scenario-based evaluation tools to assess operational and ethical implications of defense activities.
  5. Evaluate and refine policy-relevant benchmarks to ensure responsible testing of AI models in defense and humanitarian contexts.
  6. Contribute written and verbal analyses articulating complex warfighting, targeting, and IHL concepts for interdisciplinary audiences.


Preferred Qualifications

  1. 5+ years of relevant military, defense analysis, or IHL experience; ideally 8โ€“20 years for senior contributors.
  2. Advanced degree (e.g., MA, LLM, PhD) or equivalent operational experience in military science, security studies, international law, or related fields.
  3. High credibility and established track record in warfighting, operational planning, targeting law, or humanitarian law application.
  4. Expertise in interpreting and applying conflict ethics, IHL, and defense policy frameworks in real-world scenarios.
  5. Exceptional written and verbal communication skills, with the ability to convey technical and ethical concepts clearly and concisely.
  6. Experience in research, policy analysis, or advisory roles within military, governmental, legal, or think-tank environments.
  7. Prior involvement with conflict analysis, war-crimes investigation, or weapons-policy development is a strong plus.