AI training jobs
AI training jobs for ML engineers
Frontier labs need people who understand how models are trained, served and measured. ML and MLOps engineers build evaluation tasks around LLM systems, GPU performance and data pipelines, and review how models reason about them.
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Open roles for ML engineers
UK-Based Data Engineering Experts
We are recruiting UK-Based Data Engineering experts for a short, intensive project with a globally leading AI lab. What the work involves You will produce the kind of professional documents and deliverables you create…
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Overview Join a leading AI lab's…
What the work looks like
- Design tasks around LLM serving, profiling and GPU kernels
- Review model reasoning about ML systems and infrastructure
- Build and audit data engineering problems
Who qualifies
- Hands-on ML engineering, MLOps or data engineering experience
- Production experience with modern ML tooling
- Ability to explain trade-offs clearly in writing
Frequently asked questions
How much do AI training jobs for ML engineers pay?+
Open roles for ML engineers on Quanta currently pay between $90 and $200 per hour, depending on the project and the expertise it needs. Every listing shows its rate up front.
Is the work remote?+
Yes. Nearly all projects are fully remote. Some are limited to specific countries or regions, which each listing states.
How many hours do I need to commit?+
Most projects are flexible and part-time, so you can work around a full-time job. A few roles ask for a minimum number of hours per week, listed on the role.
How do I apply?+
Pick a role below and apply in a few minutes. You can also join the Quanta network once to be matched to new ML engineers roles as they open.