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Large Language Model Trainer Jobs (NOW HIRING)

Senior AI Engineer

Iselin, NJ · Hybrid

$106K - $145K/yr

Conceptualize, develop products specifically using Large Language Models, including data acquisition, pre-processing, model training/tuning, deployment, and monitoring. * Perform truth analysis to ...

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. * Implement scalable data pipelines, ensuring efficient ...

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking. * Implement scalable data pipelines, ensuring efficient ...

Train, post-train, and fine-tune large language models for agentic engineering workflows, including ... Design and operate distributed training on multi-node GPU clusters, using data, tensor, pipeline ...

Showing results 41-60

Large Language Model Trainer information

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$11

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$51

How much do large language model trainer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for large language model trainer in the United States is $29.33, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $31.49 per hour, depending on experience, location, and employer.

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Infographic showing various Large Language Model Trainer job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $61,014 per year, or $29.3 per hour.

Software Dev Engineer II, Alexa for Shopping

Palo Alto, CA

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 13 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,166 frontline employees who took The Breakroom Quiz


Job description

Join us in building the systems that enable Amazon's AI to learn from real-world customer behavior and continuously improve at massive scale.
As a Software Development Engineer, you will solve challenging data and distributed-systems problems at the center of Amazon's next-generation shopping AI. You will build scalable data platforms and intelligence capabilities that transform billions of customer interactions into high-quality training data, learning signals, and insights that directly improve large language models, agentic systems, and customer experiences.
You will own important components spanning data ingestion, behavioral analysis, dataset generation, and experimentation and evaluation for large language models and AI agents. Working closely with applied scientists and experienced engineers, you will turn complex research and product needs into reliable production systems and help pioneer automated, agent-driven workflows for continuous model improvement.
Key job responsibilities
1, Design, build, and operate scalable systems that transform real customer interactions into high-quality datasets, behavioral signals, and actionable insights for model training, post-training, and evaluation.
2, Develop data intelligence capabilities to analyze customer behavior, identify meaningful patterns and model quality gaps, and discover signals that improve large language models and agentic systems.
3, Build reliable pipelines and self-service tools for data ingestion, filtering, sampling, aggregation, dataset generation, quality validation, and exploratory analysis.
4, Partner with applied scientists to define metrics, analyze experiments, evaluate training data effectiveness, and translate findings into improved data recipes and learning signals.
5, Develop automated and agent-driven workflows for data curation, anomaly detection, experimentation, evaluation, and continuous model improvement while maintaining high standards for privacy, security, scalability, and operational excellence.
Preferred qualifications
1, Experience building large-scale data platforms, analytical systems, or data products using technologies such as Spark, Flink, SQL, distributed storage, or workflow orchestration systems.
2, Experience analyzing large and complex datasets to identify customer behavior patterns, data quality issues, and opportunities to improve machine learning models.
3, Experience defining metrics and building data quality monitoring, anomaly detection, or self-service analytics capabilities.
4, Knowledge of experimental design, statistical analysis, sampling methodologies, and techniques for measuring the impact of data or model changes.
5, Experience partnering with applied scientists, data scientists, or machine learning engineers to translate ambiguous analytical requirements into scalable production systems.
6, Knowledge of machine learning and large language model workflows, including training data preparation, post-training, experimentation, evaluation, model behavior analysis, agentic systems, and feedback loops.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US