About the role
About The Job 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 .
Position: Quant Expert Type: Contract Compensation: $53–$74/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities
- Collaborate with AI researchers to design, train, and validate quantitative and statistical models.
- Apply advanced mathematical, statistical, and computational methods to enhance model performance and stability.
- Evaluate and refine algorithmic frameworks to ensure robustness, precision, and reliability.
- Contribute to the training and fine-tuning of AI systems, ensuring they reason accurately in quantitative contexts.
- Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review experiments, debug models, and exchange technical insights.
Qualifications Must-Have
- Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance.
- Expertise in probability, optimisation, and numerical analysis.
- Proficiency in one or more programming languages commonly used for quantitative work (Python, C++, Julia, R, or Rust).
- Experience with simulation systems, data analysis, or machine learning frameworks is a strong plus.
- Excellent analytical reasoning, communication, and collaboration skills.
- Ability to commit to 20–30 hours per week, including the required synchronous collaboration periods.
Compensation & Legal
- Hourly contractor through Mercor.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
About the role
About The Job 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 .
Position: Quant Expert Type: Contract Compensation: $53–$74/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities
- Collaborate with AI researchers to design, train, and validate quantitative and statistical models.
- Apply advanced mathematical, statistical, and computational methods to enhance model performance and stability.
- Evaluate and refine algorithmic frameworks to ensure robustness, precision, and reliability.
- Contribute to the training and fine-tuning of AI systems, ensuring they reason accurately in quantitative contexts.
- Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review experiments, debug models, and exchange technical insights.
Qualifications Must-Have
- Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance.
- Expertise in probability, optimisation, and numerical analysis.
- Proficiency in one or more programming languages commonly used for quantitative work (Python, C++, Julia, R, or Rust).
- Experience with simulation systems, data analysis, or machine learning frameworks is a strong plus.
- Excellent analytical reasoning, communication, and collaboration skills.
- Ability to commit to 20–30 hours per week, including the required synchronous collaboration periods.
Compensation & Legal
- Hourly contractor through Mercor.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,