Verified Job
IT / Software / Data Analyst
Python Developer - Fully Remote Up to $50/hr
IT / Software / Data Analyst
#53993
Remote / WFH
Mercor
Job Description
Job description
About the Role
Mercor works with top AI research labs to match strong technical and creative talent with advanced projects. The company is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position Overview
This opportunity is for a Software Engineer Expert working on remote contract engagements with compensation in the range of $40 to $50 per hour.
Responsibilities
• Develop MCP servers in Python with FastMCP.
• Connect web or desktop applications to RL Studio.
• Use APIs, Docker, Linux, and service setup/configuration in daily work.
• Add populate and snapshot hooks to manage application state.
• Run applications locally and troubleshoot build, runtime, and permission-related issues.
• Confirm that applications satisfy validation checks and deployment standards.
Requirements
• Advanced Python programming ability.
• Hands-on experience with APIs, backend systems, and debugging.
• Comfort working with Docker, Linux, and local test environments.
• Ability to manage configuration files and deployment pipelines.
• Strong analytical thinking and attention to technical accuracy.
• Prior exposure to FastMCP or a comparable framework is preferred.
• Experience integrating third-party applications or developer tooling is preferred.
• Familiarity with web applications, databases, and containerized setups is preferred.
Application Process
The application flow is expected to take around 20 to 30 minutes and includes three steps: uploading a resume, completing an AI interview based on the resume, and submitting the form.
Resources & Support
For interview-process details and platform information, a support documentation page is available. Applicants can also contact support via email for help.
Additional Information
The hiring team reviews applications every day, so completing all application steps is important to be considered for the role.
Responsibilities
• Develop MCP servers in Python with FastMCP.
• Connect web or desktop applications to RL Studio.
• Use APIs, Docker, Linux, and service setup/configuration in daily work.
• Add populate and snapshot hooks to manage application state.
• Run applications locally and troubleshoot build, runtime, and permission-related issues.
• Confirm that applications satisfy validation checks and deployment standards.
Requirements
• Advanced Python programming ability.
• Hands-on experience with APIs, backend systems, and debugging.
• Comfort working with Docker, Linux, and local test environments.
• Ability to manage configuration files and deployment pipelines.
• Strong analytical thinking and attention to technical accuracy.
• Prior exposure to FastMCP or a comparable framework is preferred.
• Experience integrating third-party applications or developer tooling is preferred.
• Familiarity with web applications, databases, and containerized setups is preferred.
About the Role
Mercor works with top AI research labs to match strong technical and creative talent with advanced projects. The company is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position Overview
This opportunity is for a Software Engineer Expert working on remote contract engagements with compensation in the range of $40 to $50 per hour.
Responsibilities
• Develop MCP servers in Python with FastMCP.
• Connect web or desktop applications to RL Studio.
• Use APIs, Docker, Linux, and service setup/configuration in daily work.
• Add populate and snapshot hooks to manage application state.
• Run applications locally and troubleshoot build, runtime, and permission-related issues.
• Confirm that applications satisfy validation checks and deployment standards.
Requirements
• Advanced Python programming ability.
• Hands-on experience with APIs, backend systems, and debugging.
• Comfort working with Docker, Linux, and local test environments.
• Ability to manage configuration files and deployment pipelines.
• Strong analytical thinking and attention to technical accuracy.
• Prior exposure to FastMCP or a comparable framework is preferred.
• Experience integrating third-party applications or developer tooling is preferred.
• Familiarity with web applications, databases, and containerized setups is preferred.
Application Process
The application flow is expected to take around 20 to 30 minutes and includes three steps: uploading a resume, completing an AI interview based on the resume, and submitting the form.
Resources & Support
For interview-process details and platform information, a support documentation page is available. Applicants can also contact support via email for help.
Additional Information
The hiring team reviews applications every day, so completing all application steps is important to be considered for the role.
Responsibilities
• Develop MCP servers in Python with FastMCP.
• Connect web or desktop applications to RL Studio.
• Use APIs, Docker, Linux, and service setup/configuration in daily work.
• Add populate and snapshot hooks to manage application state.
• Run applications locally and troubleshoot build, runtime, and permission-related issues.
• Confirm that applications satisfy validation checks and deployment standards.
Requirements
• Advanced Python programming ability.
• Hands-on experience with APIs, backend systems, and debugging.
• Comfort working with Docker, Linux, and local test environments.
• Ability to manage configuration files and deployment pipelines.
• Strong analytical thinking and attention to technical accuracy.
• Prior exposure to FastMCP or a comparable framework is preferred.
• Experience integrating third-party applications or developer tooling is preferred.
• Familiarity with web applications, databases, and containerized setups is preferred.
