
Telecommute Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Digital AI Training Advisor
Hey! The team at SMR Talent Collective is excited to announce a fresh, high-paying remote role for an enthusiastic Telecommute Senior Machine Learning & Model Evaluation Engineer (MSc/PhD) — Digital AI Training Advisor earning $60 - $120/hour. If you have solid experience in Machine Learning and love working with modern digital tools, you'll feel right at home here. Join a supportive global community of remote evaluators shaping how AI communicates, solves problems, and interacts with real people every day.
What You'll Be Doing Day-to-Day
- 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.
What You Bring to the Table
- 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.
Pay Details & Why This Role Rocks
- 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: Maya Lin (Community Talent Manager) at SMR Talent Collective
Direct Application Process: Click the Apply button on this page to submit your profile directly for immediate evaluation.
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