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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 ... LLM evaluation projects • Excellent written and verbal communication skills in English • ...

Sciforium

LLM Training Engineer

San Francisco, CA · On-site

$155K - $220K/yr

About the Role As an LLM Training Engineer , you'll work across the full foundation-model stack: pretraining and scaling , post-training and Reinforcement Learning , sandbox environments for ...

Spellbrush

AI Anime Researcher - LLM

San Francisco, CA · On-site

Required : • You have published or have industry experience with LLM post-training • You have a deep understanding of LLM training and evaluation with attention to detail. • You have worked on ...

Mercor

Project Manager - LLM Specialist

New York, NY · Remote

$50 - $60/hr

Apply an analytical mindset to improve LLM training projects . * Own unfamiliar problems from start to finish. Qualifications Must-Have * Strong organizational skills. * Analytical mindset. * High ...

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

Own the end-to-end creation of pre-training datasets for LLMs. This includes defining the mix of ... Experience building massive LLM training sets from scratch, including raw web crawls (e.g., Common ...

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How much do llm trainer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for 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 does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

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Infographic showing various Llm Trainer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% 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 19 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 AI-specialized digital builders 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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