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Remote Llm Trainer Jobs (NOW HIRING)

Kake

Senior Software Engineer - LLM Trainer

$125K - $165K/yr

... training data. This role involves working at the intersection of software engineering and ... a remote, asynchronous, fast-paced environment • High attention to detail and the ability to ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

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

Jobgether

$6 - $65/hr

Our partner is looking for a AI QA Trainer - LLM Evaluation based in Netherlands. This role offers ... This is a remote contract opportunity for professionals passionate about AI quality, testing, 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 ...

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Remote Llm Trainer information

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How much do remote llm trainer jobs pay per hour?

As of Aug 3, 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.
More about Remote Llm Trainer jobs
What cities are hiring for Remote Llm Trainer jobs? Cities with the most Remote Llm Trainer job openings:
What are the most commonly searched types of Llm Trainer jobs? The most popular types of Llm Trainer jobs are:
What states have the most Remote Llm Trainer jobs? States with the most job openings for Remote Llm Trainer jobs include:
What job categories do people searching Remote Llm Trainer jobs look for? The top searched job categories for Remote Llm Trainer jobs are:
Remote Llm Trainer jobs near you
Infographic showing various Remote Llm Trainer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 91% Full Time, 1% Part Time, 2% Contract, and 2% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

Senior Software Engineer - LLM Trainer

Kake

Remote

$125K - $165K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Kake is a leading expert human data platform for AI agents and LLMs, seeking a Senior Software Engineer to contribute to the development and evaluation of AI training data. This role involves working at the intersection of software engineering and artificial intelligence, where the engineer will help build better models by leveraging technical expertise to write prompts and evaluate model outputs.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Life is Better with Kake! Kake offers premier teams of software engineers to support some of the world's most prominent and innovative brands. Founded in , the company is headquartered in Austin, TX, US, , with a team of 201-500 employees. The company is currently Growth Stage.

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