Work-From-Home Applied Machine Learning & Deep Learning Systems Engineer (Remote Talent Network)

RemoteWork Talent Agency has an immediate remote opening for a Work-From-Home Applied Machine Learning & Deep Learning Systems Engineer (Remote Talent Network) earning $80 - $150/hour. In this flexible work-from-home engagement (open to candidates in the US, UK, Canada, Australia, NZ, and Ireland), you will apply practical mastery of Machine Learning to stress-test large language models, verify factual rigor, and build gold-standard evaluation datasets.

Key Duties & Project Scope

• 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.
• Practical proficiency with Python and coding agents.
• Relevant tools may include:
• NumPy and SciPy
• Hugging Face Transformers

Candidate Requirements

• Compensation Structure
• Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply.
• Start Timeline & Availability
• 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.
• Compensation Band: $80 - $150/hour
• Work Location: Remote (100% Remote / Asynchronous Flexibility)

Pay Rate & Contract Overview

• Compensation Rate: $80 - $150/hour (contract specialist 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 Agency: RemoteWork Talent Agency

Direct Application Process: Click the Apply button on this page to proceed directly to our partner application portal and submit your profile for immediate consideration.