ML Engineer Specialist - Freelance AI Trainer Project

Solve applied ML tasks

• Iterate on problems that test and improve model reasoning, from baseline solutions to optimized workflows.
• Evaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact.
• Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.
• Design new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations.
• Improve training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and useful.

What You’ll Bring

• 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.
• Master’s or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus.
• Clear communication skills, able to explain reasoning and “show your work.”

Why Join

• Turn your ML problem-solving into real-world impact: your work trains and strengthens cutting-edge AI.
• Part of novel AI training initiatives: evaluating models, shaping datasets, and designing challenges at the research frontier.
• Enjoy flexibility: remote, contract-based work with autonomy to set your schedule.

Pay and Benefits

A pay range of $30-$50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above.

As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.