ML Engineer Specialist – AI Trainer

Invisible Agency

100d • $30 - $50

About The Position

As a Machine Learning Specialist, you will take on hands-on ML challenges that feel like research competitions, but with direct impact on next-generation AI. You will solve applied ML tasks, evaluate scientific writing, debug advanced model behavior, design new benchmark tasks, and improve training datasets. Your work will directly strengthen the world’s most advanced AI systems, contributing to their evolution into engines of discovery, education, and engineering.

Requirements

• 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.'

Responsibilities

• Solve applied ML tasks: iterating 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.

Benefits

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

What This Job Offers

• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees