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Remote Llm Training Jobs (NOW HIRING)

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

You will collaborate with our technical and research teams to develop LLM training and deployment ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$140K/yr

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... requirements for LLM training and refinement Key Responsibilities * Collaborate with data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ... Develop Python based pipelines for model training, evaluation, and deployment * Apply prompt ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Higharc

Research Engineer

Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

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Remote Llm Training information

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$15

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How much do remote llm training jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote llm training in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 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.
More about Remote Llm Training jobs
What cities are hiring for Remote Llm Training jobs? Cities with the most Remote Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
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Remote Llm Training jobs near you
Infographic showing various Remote Llm Training job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.
Senior Distinguished Engineer, AI Compute (Remote Eligible)

Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

Richmond, VA • On-site, Remote

$121K - $159K/yr

Full-time

Posted 23 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Senior Distinguished Engineer, AI Compute (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform.

You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.

In this role, you will :

  • Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform

  • Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics

  • Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows

  • Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models

  • Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions

  • Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities

  • Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies

  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications :

  • Master's Degree in Computer Science or a Master's Degree in Software Engineering

  • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management)

  • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference

  • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies

  • History of upstream contributions to major distributed systems projects

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer


Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer


Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer


San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer





Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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