Remote Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) (Flexible AI Training Role)

Frontier generative models are scaling at breakneck speed, and MegaHired is leading the charge in human alignment. We are hiring a distinguished Remote Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) (Flexible AI Training Role) ($60 - $120/hour) to supply the critical domain ground truth needed to train enterprise-grade AI. If you possess rigorous background in Machine Learning, this is your opportunity to build foundational benchmarks that will influence millions of downstream users worldwide.

Project Architecture & Core Responsibilities

• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.
• A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.

Technical Competencies & Domain Background

• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.
• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
• Practical proficiency with Python and coding agents.
• Apply to the role and complete the screening questions.

Financial Terms & Asynchronous Flexibility

• Compensation Rate: $60 - $120/hour (verified contractor remuneration)
• Work Arrangement: 100% Remote / Work From Home
• Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
• Core Competencies: Machine Learning
• Hiring Lead: David Chen (Strategic Tech Sourcing) at MegaHired

Direct Application Process: Click the Apply button on this page to submit your profile directly for immediate evaluation.