ML Engineer Specialist - Freelance AI Trainer Project

The role

You will solve applied ML tasks to improve model reasoning and optimize workflows. You will also evaluate scientific writing, debug model behavior, design benchmark tasks, and improve training datasets.

What you will do

• Solve applied ML tasks by iterating on problems to test and improve model reasoning
• Evaluate scientific writing using review rubrics for clarity, correctness, and impact
• Debug advanced model behavior regarding optimization, fairness, regularization, transformers, and applied NLP
• Design new benchmark tasks by identifying datasets, analyzing papers, and building evaluation scripts
• Improve training datasets by delivering structured feedback

Required qualifications

• Strong background in machine learning, NLP, or data science
• Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP
• Proficiency in Python, ML frameworks, and cloud-based workflows
• Clear communication skills

Nice to have

• Master’s or PhD in CS/ML/data science
• Peer-reviewed research
• Production ML systems

Benefits

• Remote, contract-based work with autonomy to set your schedule

Before you apply

• As a contractor you’ll supply a secure computer and high-speed internet

About the company

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