Remote AI and machine learning jobs
Remote work for machine learning engineers, applied scientists and AI researchers. Open a job to see the rate and where you can work from.
8 jobs
Applied Scientists - Machine Learning (MSc. or PhD)
$60-120/hrPart-timeRemote, worldwide
- Machine Learning
Machine Learning Researcher (MSc. or PhD)
$60-120/hrPart-timeRemote, worldwide
- Machine Learning
ML Engineer (MSc. or PhD)
$60-120/hrPart-timeRemote, worldwide
- Machine Learning
Competitive Data Scientist (Kaggle)
$60-120/hrPart-timeRemote, worldwide
- ML Engineering
- Data Science
Machine Learning Expert
$70-120/hrFlexibleRemote
ML Challenge Task Auditor
$70-90/hrFlexibleRemote, US only
LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
$100-120/hrFlexibleRemote
Machine Learning Engineer Talent Network
$70-250/hrPart-timeRemote
- Pay basis
- Paid per task that meets the specs
- Hours
- About 15 h/week, you choose when
- Where
- Remote, worldwide
- Type
- Contract, part-time
- Skills
- Machine Learning, Python
A coding-heavy remote role for ML people with a master's or PhD. You build and fix models, training and inference workflows, and check that the results are correct and fast. About 15 hours a week, on the days and hours you choose, weekends included.
What you will do
- Create, solve, review and validate hard machine learning engineering tasks.
- Build and validate models, training pipelines, inference systems and supporting infrastructure.
- Implement model components, data pipelines, evaluation systems and numerical methods.
- Optimize memory or throughput and debug numerical or system-level failures.
- Build reproducible workflows with Python and command-line tools.
What you need
- A master's degree or PhD in computer science, machine learning, AI, applied mathematics, statistics, engineering or a closely related quantitative field.
- Strong professional or research experience in machine learning.
- Practical skill with Python and with coding agents in your workflow. Equivalent tools may count if you show directly relevant depth.
Experience at an established tech company, lab, research organization or other recognized engineering setting counts strongly in your favor. Exceptional open-source or academic work may also qualify.
How pay works
Pay is output-based: you are paid per task that meets the project specs. The listed rate is $60-120/hr, and the time a task takes depends on your experience and workflow. Minimum submission requirements apply.
How applying works
- Apply and answer the screening questions.
- Complete an AI interview of about 30 minutes.
- Wait for the hiring manager review.
The listing says roles are usually filled within 48 hours. If you are selected, you are expected to start your first task within 24-48 hours of finishing onboarding.