🌍 Machine Learning Researcher (MSc. or PhD) $60–$120 per hour Remote Openings 100
🌍 Machine Learning Researcher (MSc. or PhD) – Remote Jobs at micro1
Are you an experienced Machine Learning professional with a Master’s degree or PhD? micro1 is offering a global, fully remote contractor opportunity for qualified experts to contribute to an AI training project involving machine-learning models, training pipelines, inference systems, and performance optimization.
This role is highly technical and coding-intensive. Applicants should have strong machine-learning expertise and practical experience using Python and coding agents in their workflow.
📌 Job Overview
- 💼 Job Title: Machine Learning Researcher
- 🏢 Company: micro1
- 🌐 Location: Global – Fully Remote
- 📄 Job Type: Contractor
- 💰 Advertised Pay: $60–$120 per hour
- 👥 Openings: 100
- ⏰ Expected Workload: Approximately 15 hours per week
- 📅 Schedule: Flexible, including weekends if desired
- 🎓 Education: Master’s degree or PhD
- 🧠 Required Skills: Machine Learning, Python, and Coding Agents
📝 Job Description
micro1 is seeking highly skilled Machine Learning Experts to support an AI training project focused on developing, testing, and improving machine-learning systems.
Researchers will work on challenging engineering tasks that may involve implementing or modifying models, creating reproducible training and inference workflows, optimizing memory usage and processing throughput, and debugging numerical or system-level issues.
Candidates must be comfortable with hands-on coding and evaluating whether their implementations meet objective correctness and performance requirements.
Important: This is a very coding-heavy role. Practical experience using Python and coding agents is required.
🎯 Key Responsibilities
- 🤖 Develop and validate machine-learning models and training pipelines.
- ⚙️ Build and improve inference systems and supporting infrastructure.
- 💻 Implement model components, data pipelines, and evaluation systems.
- 🧮 Apply numerical computing methods to machine-learning challenges.
- 🐍 Create reproducible workflows using Python and command-line tools.
- 🔍 Debug numerical, software, and system-level failures.
- 📊 Optimize memory usage, processing throughput, and performance.
- ✅ Review and validate implementations against defined requirements.
🛠️ Required Skills
Applicants should have expertise in:
- Machine Learning and Artificial Intelligence
- Python Programming
- Coding Agents and AI-Assisted Coding
- Model Development and Evaluation
- Training and Inference Systems
- Numerical Computing
- Debugging and Performance Optimization
- Data Pipelines and Reproducible Workflows
🎓 Required Qualifications
To be considered for this opportunity, candidates should meet the following requirements:
- A Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.
- Strong professional or research experience in machine learning.
- Practical proficiency in Python and coding agents.
- Ability to solve complex technical problems and validate engineering results.
Experience at an established technology company, AI laboratory, research organization, or recognized engineering environment is strongly preferred. Exceptional academic or open-source experience may also qualify.
💰 Compensation and Working Hours
- Advertised compensation: $60–$120 per hour.
- Expected commitment: Approximately 15 hours per week.
- Work arrangement: Fully remote contractor position.
- Schedule: Flexible working days and hours.
- Payment model: Output-based compensation for tasks that meet project specifications.
The advertised hourly range does not guarantee fixed hourly earnings or a specific weekly income. Payment depends on completed tasks meeting the project requirements, and minimum submission requirements apply.
🚀 Application and Selection Process
According to the supplied job description, the application process includes:
1. Online application: Apply for the role and complete the screening questions.
2. AI interview: Complete an interview lasting approximately 30 minutes.
3. Hiring manager review: The hiring team reviews your application and suitability.
4. Onboarding and start: Selected candidates should be ready to begin their first task within 24–48 hours after completing onboarding.
The listing states that positions are typically filled within 48 hours, so qualified applicants who are ready to start should review the opportunity promptly.
🌟 Why Consider This Opportunity?
- 🌍 Work remotely from eligible locations worldwide.
- 💵 Explore an advertised rate of $60–$120 per hour.
- 🧠 Apply advanced machine-learning and research expertise.
- 🕒 Choose a flexible working schedule.
- 🤖 Contribute to AI training and machine-learning system improvement.
- 📈 Work on challenging technical and engineering tasks.
🔗 How to Apply
Interested candidates can visit the official micro1 website to find the Machine Learning Researcher (MSc. or PhD) listing and review the latest application requirements.
Apply Now