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Remote Llm Trainer Jobs (NOW HIRING)

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 ...

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 ...

Turing

Remote STEM Expert

Fresno, CA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Arlington, TX · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Worcester, MA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Spokane Valley, WA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Naperville, IL · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Philadelphia, PA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Chicago, IL · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Vancouver, WA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Lancaster, PA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

New Bedford, MA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

Turing

Remote STEM Expert

Bakersfield, CA · Remote

Reviewing AI training problems and research environments built for a frontier AI lab * Assessing ... Opportunity to work on cutting-edge AI projects with leading LLM companies. * Potential for ...

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Remote Llm Trainer information

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How much do remote llm trainer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote llm trainer in the United States is $36.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.88 per hour, depending on experience, location, and employer.

What are Remote LLM Trainers?

Remote LLM Trainers are professionals who work from any location to help train large language models (LLMs) by providing high-quality data, evaluating model outputs, and refining model behavior. They may annotate data, review AI-generated content, or design prompts and tasks to improve the model's performance. These roles are crucial in ensuring that LLMs become more accurate, safe, and useful across various applications. Remote LLM Trainers often have backgrounds in language, linguistics, data science, or related fields and rely on digital tools to collaborate with AI development teams.

What does a typical workday look like for a Remote LLM Trainer, and how do they collaborate with team members?

As a Remote LLM Trainer, your workday often involves creating, curating, and reviewing datasets, developing prompts, and evaluating large language model outputs for quality and safety. Much of your collaboration happens asynchronously through digital channels—such as project management tools, messaging platforms, and regular video meetings—with researchers, data scientists, and fellow trainers. You may also participate in feedback sessions to discuss model behavior and share insights on improving training methodologies. Adapting to rapidly evolving project requirements and maintaining clear communication are key to success in this distributed, fast-paced environment.

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

AspectRemote Llm TrainerData Scientist
Required CredentialsBackground in AI, NLP, or machine learning; often a degree in computer science or related fieldDegree in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentRemote, collaborative teams developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and deriving insights
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting, and research organizations

While both roles involve working with data and machine learning, a Remote Llm Trainer specializes in training and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various industries.

What are the key skills and qualifications needed to thrive as a Remote LLM Trainer, and why are they important?

To thrive as a Remote LLM Trainer, you need a deep understanding of machine learning, natural language processing, and large language models, typically supported by a degree in computer science or related fields. Experience with Python, deep learning frameworks like TensorFlow or PyTorch, and familiarity with annotation tools or data labeling platforms is essential. Strong communication, attention to detail, and the ability to work independently are standout soft skills in this role. These skills and qualities ensure accurate model training, effective collaboration with distributed teams, and the delivery of high-quality AI solutions.
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What cities are hiring for Remote Llm Trainer jobs? Cities with the most Remote Llm Trainer job openings:
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Remote Llm Trainer jobs near you
Infographic showing various Remote Llm Trainer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 50% Full Time, 35% Part Time, and 14% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

Senior Software Engineer - LLM Trainer

Kake Group

San Francisco, CA • Remote

$125K - $165K/yr

Contractor

Posted 22 days ago

Job description

We are looking for a Senior Software Engineer to contribute to the development and evaluation of AI training data for a leading expert human data platform for AI agents and LLMs.

In this role, you will work at the intersection of software engineering and artificial intelligence, helping AI labs and companies build better, safer, and more capable models. You will leverage your deep technical expertise to write prompts, produce reference-quality code solutions, evaluate model outputs, and provide the structured human signal that makes AI systems smarter.

This is not a traditional engineering role - it is a unique opportunity for senior engineers who want to shape how the next generation of AI understands, generates, and reasons about code.

Key Responsibilities

  • Create and review coding tasks based on real-world software engineering scenarios, including debugging, refactoring, code generation, API usage, automated tests, performance, security, and edge cases.
  • Write high-quality reference solutions that are correct, clear, testable, and aligned with task requirements.
  • Evaluate AI-generated code and responses using structured rubrics, assessing correctness, clarity, security, performance, maintainability, and instruction-following.
  • Compare multiple model responses, select the strongest answer, and justify your decision with clear technical reasoning.
  • Identify bugs, hallucinated APIs, missing edge cases, weak explanations, and poor engineering decisions in AI-generated outputs.
  • Work with terminal-based development workflows when needed, including running tests, debugging issues, managing dependencies, and navigating repositories.
  • Follow detailed guidelines consistently and participate in calibration activities to ensure high-quality, reliable evaluations.

Core Requirements

  • 5+ years of professional software engineering experience in a backend, fullstack, or systems role.
  • Strong proficiency in at least one core programming language, ideally Python, JavaScript/TypeScript, Go, Java, C++, or SQL.
  • Hands-on experience with Terminal-Bench, with the ability to evaluate AI agent performance on terminal-based tasks including compiling code, running tests, managing environments, and completing multi-step software engineering workflows.
  • Comfortable working with Git, command line/terminal, and common development workflows.
  • Ability to evaluate code critically - not only whether it works, but whether it is well-designed, secure, and maintainable.
  • Prior experience in AI data production, RLHF, data annotation, or LLM evaluation projects.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, asynchronous, fast-paced environment.
  • High attention to detail and the ability to follow complex, rubric-based guidelines consistently

Nice-to-Have

  • Experience with Python-heavy workflows, automated testing frameworks, Docker, Linux, bash, or containerized environments.
  • Experience with repo-level code reasoning, large codebases, or open-source contributions.
  • Background in backend systems, data engineering, DevOps, infrastructure, security, or large codebase.

Additional

- US Timezone Overlap: PST (GMT -8)

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.