ML Engineer Specialist - Freelance AI Trainer Project

Meridial; United States; On-site; USD 41,328 - 68,880; Part time

Benefits offered by this job

Flexibility to set your schedule

Remote work environment

Impact on cutting-edge AI

Job summary

Meridial is seeking an ML Engineer Specialist for a freelance AI Trainer Project. In this role, you will tackle machine learning challenges that influence the future of AI. Your responsibilities include solving ML tasks, evaluating scientific writing, and designing benchmark tasks.

A strong background in machine learning or data science along with experience in Python and deep learning is essential. This is a remote contract position offering flexible work hours.

Qualifications

• Strong background in machine learning, NLP, or data science.
• Experience with supervised/unsupervised learning and applied NLP.
• Clear communication skills for explaining reasoning.

Responsibilities

• Solve applied ML tasks to improve model reasoning.
• Evaluate scientific writing for clarity and correctness.
• Debug advanced model behavior and document issues.
• Design new benchmark tasks and evaluation scripts.
• Improve training datasets for better AI outputs.

Skills

Machine learning

Natural language processing (NLP)

Data science

Python

Deep learning

Reinforcement learning

Education

Master’s or PhD in CS/ML/data science

Job description

ML Engineer Specialist - Freelance AI Trainer Project

United States of America

Do you enjoy Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains? Now imagine doing that as paid work, where your solutions directly strengthen the world’s most advanced AI systems.

Large-scale language models are evolving into engines of discovery, education, and engineering. To get there, they need sharper reasoning and better datasets. 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.

What You’ll Do

• 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.

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.
• Be 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.

Ready to turn your machine learning expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer 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.

• Job title: ML Engineer Specialist – AI Trainer
• Employment type: Contract
• Workplace type: Remote
• Seniority level: Mid‑Senior Level