Virtual Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Applied AI Research & QA

TopChoice Recruiting curates premier high-yield remote opportunities for top-tier professionals. We are currently pleased to present this exclusive contract for a Virtual Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Applied AI Research & QA commanding $60 - $120/hour. This assignment focuses on high-precision evaluation and rubric design across Machine Learning, offering an exceptional earning profile coupled with the convenience of 100% remote execution across leading global jurisdictions.

The Scope of Your Engagement

• 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.
• Implement model components, data pipelines, evaluation systems, and numerical methods.

Ideal Candidate Credentials

• 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.
• Complete an AI interview of approximately 30 minutes.

Executive-Tier Remuneration & Details

• 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: Victoria Sterling (Senior Placement Partner) at TopChoice Recruiting

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