Earn up to $80 USD/hr,
paid out weekly
Rates vary based on expertise and project requirements. Paid via PayPal and AirTM
Global
(Remote)
Familiarity with
PyTorch required
Familiarity with developing deep learning models in PyTorch is required
Overview
What you will be doing
We are looking for highly skilled Machine Learning Engineers to help train generative AI models on real-world ML systems and architecture concepts
Creating and answering technical questions related to deep learning model design, training, and optimization.
Evaluating and explaining code implementing complex ML blocks, such as Transformers, ConvNeXt modules, MLP/GLU layers, and attention mechanisms.
Reviewing and critiquing AI-generated PyTorch implementations for efficiency, correctness, and maintainability.
Explaining best practices for GPU utilization, kernel fusion, profiling, and model performance improvements.
Helping AI systems understand how expert engineers reason about architecture trade-offs, scaling, and hardware efficiency.
Common Tasks
Choose the right response
You will be given two responses to a question and your task will be to choose the correct response
Response 1
Response 2
Write a prompt
Write simple prompts that will act as a starting point for AI models
Edit
Preview
What we’re looking for
A Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related computational field.
3+ years of hands-on experience developing and optimizing deep learning models in PyTorch (e.g., Transformers, CNNs, diffusion models).
Strong understanding of model architecture, training dynamics, and inference optimization.
Familiarity with GPU performance concepts, such as memory I/O efficiency, CUDA kernels, or PyTorch profiling tools.
The ability to read and reason about research-level model code and articulate detailed technical feedback.
Clear written communication and an eye for detail—able to describe complex ML behaviors and trade-offs precisely.
Compensation and benefits
Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.
Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.
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Application and Onboarding Process:
Frequently Asked Questions (FAQs)
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This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.
