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Remote Llm Training Jobs (NOW HIRING)

Joveo

Software Engineers

New York, NY · Remote

$30 - $50/hr

Remote (United States, Canada, United Kingdom, Australia) * Work Mode: Fully Remote Role Overview ... Provide high-density technical feedback for LLM training Project Workflow * Create an account and ...

Joveo

Software Engineers

Chicago, IL · Remote

$30 - $50/hr

Remote (United States, Canada, United Kingdom, Australia) * Work Mode: Fully Remote Role Overview ... Provide high-density technical feedback for LLM training Project Workflow * Create an account and ...

Joveo

Software Engineers

Houston, TX · Remote

$30 - $50/hr

Remote (United States, Canada, United Kingdom, Australia) * Work Mode: Fully Remote Role Overview ... Provide high-density technical feedback for LLM training Project Workflow * Create an account and ...

Joveo

Software Engineers

California City, CA · Remote

$30 - $50/hr

Remote (United States, Canada, United Kingdom, Australia) * Work Mode: Fully Remote Role Overview ... Provide high-density technical feedback for LLM training Project Workflow * Create an account and ...

Joveo

Software Engineers

Los Angeles, CA · Remote

$30 - $50/hr

Remote (United States, Canada, United Kingdom, Australia) * Work Mode: Fully Remote Role Overview ... Provide high-density technical feedback for LLM training Project Workflow * Create an account and ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

... or LLM training * Strong attention to detail What will you do? Annotation - Audio/Video/Image ... remote , performed through an online platform available 24/7. This opportunity is offered for ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/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 ...

Red Hat

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 ...

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All JobsRemote Llm Training Jobs

Remote Llm Training information

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$15

$42

$77

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.
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What cities are hiring for Remote Llm Training jobs? Cities with the most Remote Llm Training job openings:
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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.
Product Operations Specialist (Technical + LLM)

Product Operations Specialist (Technical + LLM)

Linda Werner & Associates

OR • Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Role

The Product & Regulatory Operations organization plays a critical role in supporting user and business safety across platforms. This team partners closely with product, engineering, legal, and cross-functional stakeholders to deliver operational excellence for emerging and high-priority initiatives.

As a Technical Product Operations Specialist, you will drive product quality, growth, and operational efficiency through data-driven decision-making, technical tooling, and AI-enabled workflows. This role requires a high degree of autonomy, along with strong technical acumen and product sense to independently execute and scale solutions.

Key Responsibilities

  • Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions
  • Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights
  • Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making
  • Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions
  • Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams
  • Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination
  • Strengthen cross-functional partnerships and proactively remove blockers to drive execution
  • Support data annotation, labeling, and LLM training initiatives to improve product quality

Minimum Qualifications

  • 8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations
  • Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations)
  • Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases
  • Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation
  • Experience managing multiple workstreams simultaneously with strong prioritization skills
  • Self-starter with the ability to work independently and drive projects with minimal oversight
  • Strong analytical and critical thinking skills with a data-driven approach to problem solving
  • Proven organizational and time-management capabilities
  • Experience with data annotation/labeling and LLM training workflows

Preferred Qualifications

  • Experience with development tools such as VS Code or similar environments
  • Experience with low-code/no-code prototyping or AI-assisted development
  • Experience building dashboards using tools such as Tableau, Looker, or similar platforms
  • Familiarity with data pipelines, ETL processes, and data infrastructure concepts
  • Experience collaborating with engineering teams on technical requirements and specifications
  • Background in quality assurance, triage operations, or ML/AI validation workflows
  • Experience developing and executing testing strategies (manual and automated) for products and features

Team & Role Context

  • Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives
  • Requires a balance of technical execution and program management skills
  • Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery

Must-Have Skills

  • Deep experience in technical product operations or program management
  • Strong SQL and data analysis capabilities
  • Experience with AI tools and LLM-related workflows, including data annotation and model training support

Nice-to-Have Skills

  • Experience with low-code/no-code or AI-assisted development
  • Understanding of data infrastructure and pipelines
  • Experience with product testing and validation frameworks

Location: Remote

Role type: Contract 6 Month Position

Expected hours: 40 per week

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

Schedule:

  • 8 hour shift
  • Monday to Friday

Language:

  • English (Required)