Remote opportunity at
micro1ML Engineer (MSc. or PhD)
micro1 is hiring a contractor for a Senior ML Engineer position to work on an artificial intelligence training initiative. This fully remote, global role requires approximately…
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About This Role
micro1 is hiring a contractor for a Senior ML Engineer position to work on an artificial intelligence training initiative. This fully remote, global role requires approximately 15 hours per week with a flexible schedule that allows professionals to select their working days and hours, including weekends. Compensation ranges from $60 to $120 per hour and is structured on an output-based model, where contributors receive payment for each completed task meeting…
Job Description
micro1 is hiring a contractor for a Senior ML Engineer position to work on an artificial intelligence training initiative. This fully remote, global role requires approximately 15 hours per week with a flexible schedule that allows professionals to select their working days and hours, including weekends. Compensation ranges from $60 to $120 per hour and is structured on an output-based model, where contributors receive payment for each completed task meeting project specifications. The position involves heavy coding centered on numerical computing, performance optimization, inference systems, and model training.
Selected contractors will create, examine, solve, and verify difficult engineering assignments. Typical duties involve implementing or altering models, building reproducible inference or training pipelines, debugging system-level or numerical errors, optimizing throughput or memory, and confirming that results meet performance and correctness criteria. Candidates must actively utilize coding agents alongside Python in their daily workflows. The hiring process consists of screening questions, a 30-minute artificial intelligence interview, and a hiring manager review. Qualified individuals are typically onboarded within 48 hours and must be ready to begin their initial assignment within one to two days after finishing onboarding.
Responsibilities
- Develop and validate machine learning models, inference systems, training pipelines, and supporting infrastructure
- Implement model components, numerical methods, data pipelines, and evaluation systems
- Construct reproducible programmatic workflows using command-line tools and Python
- Create, solve, review, and validate machine-learning engineering tasks
- Implement or modify models, build reproducible workflows, and optimize throughput or memory
- Debug system-level or numerical failures and verify objective correctness and performance requirements
Requirements
- Practical proficiency with Python and coding agents
- Strong professional or research experience in machine learning
- Ability to work approximately 15 hours per week
- Readiness to start the first task within 24 to 48 hours of completing onboarding
Qualifications
- Master degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline
- Experience at a recognized engineering environment, AI laboratory, well-established technology company, or research organization
- Exceptional academic or open-source experience
Core Skills
Benefits
- Flexible schedule allowing workers to choose their own hours and days, including weekends
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the role is fully remote with a global location.
What is the pay rate and compensation structure?
The compensation ranges from $60 to $120 per hour and is output-based, meaning experts are paid per task that meets project specifications.
What are the weekly time commitments and schedule?
The contractor role requires approximately 15 hours per week with a flexible schedule where you choose your hours and days, including weekends.
What education is required for this role?
Candidates must hold a master degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
What does the hiring process look like?
The application process includes completing screening questions, taking a 30-minute artificial intelligence interview, and undergoing a hiring manager review.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.