Applied Scientists — Machine Learning
The middle of its range, $90/hr, is above the $55/hr median of the Agentic Tasks & RL Environments roles open now, whose typical pay runs $50–$120/hr. How that pay moves week by week is in our research on Agentic Tasks & RL Environments work.
Half of all Agentic Tasks & RL Environments roles come down within 9.3 days of being listed, and 33.7% are still up after four weeks. This one was posted 19 days ago.
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About the role
Applied Scientists - Machine Learning
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible - you choose the hours and days you work, including weekends if desired
We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
What You’ll Work On
- Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
- Implement model components, data pipelines, evaluation systems, and numerical methods.
- Build reproducible programmatic workflows using Python and command-line tools.
Required Qualifications
- A BS 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.
Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
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.
Where you can work
This role is 100% remote: you can work from any country except Afghanistan, Belarus, DR Congo, China, Cuba, Ethiopia, Hong Kong, Iraq, Iran, North Korea, Libya, Myanmar, Macau, Russia, Sudan, Somalia, South Sudan, Syria, Ukraine, Venezuela and Yemen.
From micro1's job posting, checked 12 Nov 2026.
About micro1
Zara AI-interview vetting, then expert data work at published hourly rates.
How it pays: USD via Deel (bank, PayPal, Wise, Payoneer).
When it pays: Twice a month, in US dollars through Deel. How often others pay
Interview: yes, for everyone it takes (The Zara AI interview). How the micro1 AI interview works
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