Pharmacokinetics Systems Biology Expert - AI Trainer
Mercor, Inc.
New York, NY, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Compensation
$145,600.0 - $208,000.0
Working hours
Regular working hours
Job source
Tech stack
Training Data
Artificial Intelligence
Linux
Python (Programming Language)
Oracle (Applications)
Containerization
Free and Open-Source Software
Software Library
Programming Languages
Job description
- Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.
- Develop problems that test AI systems’ ability to implement complex multi-step scientific workflows and strategic reasoning.
- Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.
- Collaborate with AI research teams to improve model outputs and training data quality.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Requirements
Do you have experience in Programming languages?, Must-Have
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
- Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.
- Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
- Ability to work independently and iterate on problem designs based on calibration feedback.
- Comfortable in a Linux/terminal environment with remote compute sandboxes.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
Benefits & conditions
3.93.9 out of 5 stars New York, NY Remote $70 - $100 an hour - Part-time
About the company
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.
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