Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Remote AI Systems & Data Evaluation

Imagine logging in on your own terms, skipping the traffic entirely, and doing meaningful work that actually pays what you're worth. That's what we offer at AnyHired! We're seeking a remote Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Remote AI Systems & Data Evaluation ($60 - $120/hour) to assist with advanced AI calibration across Machine Learning. Whether you're balancing family life, personal passions, or other projects, this contract gives you the genuine flexibility you've been looking for.

Your Remote Flow & Daily Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• 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.

Who Thrives in This Role

• Apply to the role and complete the screening questions.
• 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.

Transparent Earnings & Schedule Autonomy

• 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: Chloe Bennett (Remote Culture Director) at AnyHired

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