Position:
Machine Learning Engineer - Model Evaluation & Experimentation
Company:
RemoteAI Training
Compensation:
$60-$90 per hour
Location:
United States
Employment type:
Part time
Work Arrangement:
Fully remote
Short Summary:
Join a pioneering AI initiative focused on building the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced Machine Learning Engineers and Researchers to bring hands-on expertise in model development, experimentation, and evaluation.
Responsibilities:
- Design realistic machine learning benchmark tasks based on research workflows.
- Translate open-ended research concepts into structured evaluation tasks.
- Implement machine learning solutions using Python and execute experiments.
- Develop benchmark tasks involving reinforcement learning concepts.
- Evaluate AI-generated solutions by identifying errors and flaws.
- Collaborate with AI researchers to improve benchmark quality and evaluation consistency.
Requirement:
- Master's degree, PhD, or equivalent practical experience in a relevant field.
- Minimum 1 year of professional experience in machine learning research or a related role.
- Strong hands-on experience in designing, training, and evaluating machine learning models.
- Proficiency in Python and Git, with experience in script-based and notebook-based environments.
- Familiarity with reinforcement learning concepts is preferred.
- Excellent analytical thinking, creativity, and problem-solving skills.
Benefits:
- Help shape how next-generation AI systems are evaluated.
- Collaborate with leading AI researchers.
- Enjoy the flexibility of a fully remote engagement.
- Contribute to impactful AI research initiatives.