AI/ML Platform Python Developer
Salário Estimado
R$ 7.623,00 - R$ 11.435,00
Descrição da Vaga
## 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:** Software Engineer **Type:** **Contract** **Compensation:** **$100/hour** **Location:** **Remote** **Duration:** **1 month** **Commitment:** **20 hours/week** ## Role Responsibilities • Develop and maintain complex, production-grade **Python** systems for real-world environments. - Design modular, testable codebases using modern **Python** tooling and best practices like **FastAPI**, **Pydantic**, and unit/integration testing frameworks. - Optimize performance through profiling and memory optimization in **Python**. - Work **independently and asynchronously** to meet deadlines while improving **AI model performance**. - Collaborate with **AI research teams** to enhance training data quality and model outputs. ## Qualifications ### Must-Have
Please complete your AI interview and application steps to be considered for this opportunity.*
Requisitos
- **1 month** **Commitment:*
- Proven track record of building and maintaining complex **Python** systems
- Deep understanding of **Python** language fundamentals, including decorators, generators, async/await, and context managers
- Experience designing modular, testable codebases with modern **Python** tooling
- ## Interview Process - **90 mins** human interview centered on **Python**
Responsabilidades
- **20 hours/week** ## Role Responsibilities
- Develop and maintain complex, production-grade **Python** systems for real-world environments
- Design modular, testable codebases using modern **Python** tooling and best practices like **FastAPI**, **Pydantic**, and unit/integration testing frameworks
- Optimize performance through profiling and memory optimization in **Python**
- Work **independently and asynchronously** to meet deadlines while improving **AI model performance**. - Collaborate with **AI research teams** to enhance training data quality and model outputs
- Feedback within two weeks
Benefícios
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Informações
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