San Francisco, CA · Remote
$125K - $165K/yr
... AI training data for a leading expert human data platform for AI agents and LLMs . In this role ... Prior experience in AI data production, RLHF, data annotation , or LLM evaluation projects
Quick apply
San Francisco, CA · Remote
$125K - $165K/yr
... AI training data for a leading expert human data platform for AI agents and LLMs . In this role ... Prior experience in AI data production, RLHF, data annotation , or LLM evaluation projects
San Jose, CA · On-site
Responsibilities : • Responsible for developing and optimizing LLM training & inference & Reinforcement Learning framework. • Working closely with model researchers to scale LLM training ...
San Jose, CA · On-site
Responsibilities : • Responsible for developing and optimizing LLM training & inference & Reinforcement Learning framework. • Working closely with model researchers to scale LLM training ...
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 ...
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 ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.Hands ...
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.Hands ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. * Work on efficient and effective ways to leverage large scale ...
We are now looking for a Senior High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
We are now looking for a Senior High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
We are now looking for a Senior High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
We are now looking for a Senior High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
About the Role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and ...
About the Role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and ...
We are now looking for a High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
We are now looking for a High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM ...
Menlo Park, CA · On-site +1
About the role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and ...
Menlo Park, CA · On-site +1
About the role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and ...
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.
... training corpora for domain-specific instruction tuning. • Fine-tune open-source LLMs using LoRA ... Preferred Qualifications • Prior experience contributing to open-source LLM projects. • ...
Quick apply
... training corpora for domain-specific instruction tuning. • Fine-tune open-source LLMs using LoRA ... Preferred Qualifications • Prior experience contributing to open-source LLM projects. • ...
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
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 ...
Quick apply
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 ...
$147K - $220K/yr
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale. Hands ...
$147K - $220K/yr
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale. Hands ...
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
Quick apply
Bonus if your post training work is focused on roleplay. Bonus if you have worked on latency ... You have worked on LLM infrastructure Training LLMs requires both research and engineering.
$139K - $258K/yr
You will collaborate with world-class talent in LLM training, on-device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and ...
$139K - $258K/yr
You will collaborate with world-class talent in LLM training, on-device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and ...
... training processes, including the selection of training data and feedback mechanisms. - Stay abreast of the latest developments in cyber security threats, tactics, techniques, and procedures (TTPs ...
... training processes, including the selection of training data and feedback mechanisms. - Stay abreast of the latest developments in cyber security threats, tactics, techniques, and procedures (TTPs ...
$19.43 is the 25th percentile. Wages below this are outliers.
$15.63 - $22.60
46% of jobs
The median wage is $23.71 / hr.
$22.60 - $29.57
26% of jobs
$29.57 - $36.54
0% of jobs
$36.54 - $43.51
0% of jobs
$48.74 is the 75th percentile. Wages above this are outliers.
$43.51 - $50.48
4% of jobs
$50.48 - $57.45
13% of jobs
$57.45 - $64.42
0% of jobs
$64.42 - $71.39
0% of jobs
$71.39 - $78.37
3% of jobs
$78.37 - $85.34
4% of jobs
$85.34 - $92.31
4% of jobs
$15
$36
$92
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.
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.
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.
$125K - $165K/yr
Contractor
Posted 13 days ago
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
Core Requirements
Nice-to-Have
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. 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.
