About the role
Job TitleML Engineer - AI Trainer
Job TypeContractor (~15 hours per week)
LocationGlobal, fully remote
ScheduleFlexible—you choose the hours and days you work, including weekends if desired The Role We are looking for highly skilled
Machine Learning Expertsto contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
What You’ll OwnDevelop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. What We’re Looking For A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning.
Practical proficiency withPython and coding agents.
PyTorch
JAX
NumPy and SciPy
SGLang
vLLM
llama.cpp
Hugging Face Transformers
Hugging Face TokenizersEquivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Hiring Process