Machine Learning Engineer Talent Network | $70-$250/hr Remote
Overview
This is an open, rolling application for a network of machine learning engineers seeking remote contract work with top-tier AI research labs. As an expert in this network, you'll contribute to training, evaluating, and improving AI models by completing real-world tasks and delivering domain-specific feedback. Projects typically require 15-30 hours per week and offer flexible schedules with pay ranging from $70 to $250 per hour.
What You'll Do5
- 1Design and execute tasks to train and evaluate AI models in the machine learning engineering space
- 2Create deliverables that reflect real-world scenarios to test model capabilities and limitations
- 3Provide domain-specific feedback to help advance frontier AI research and model performance
- 4Collaborate with AI research teams to identify areas for model improvement and propose solutions
- 5Document findings and share insights to refine training pipelines and validation protocols
Requirements4
- 1Proven professional experience developing ML models using Python and frameworks such as PyTorch or TensorFlow
- 2Hands-on expertise with model deployment and MLOps practices in production environments
- 3Strong communication skills to articulate technical concepts and collaborate effectively in a remote team
- 4Ability to work independently and manage your own schedule in a fully remote setting
Who Should Apply
This network is ideal for experienced ML engineers who thrive on diverse, challenging projects and want to apply their expertise to cutting-edge AI research. You should be comfortable working autonomously, eager to provide high-quality feedback, and excited to shape the next generation of AI models. If you enjoy flexible, part-time contract work that fits around your other commitments, this is a great fit.
Salary Insight
Compensation ranges from $70 to $250 per hour, depending on the project's complexity, your level of expertise, and the specific requirements of each engagement.
Application Tip
To maximize matching opportunities, fill out your profile with highly specific examples of ML projects you've led, including the models, datasets, and frameworks you used. The AI interview uses these details to surface projects that align with your exact skill set.
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