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Python SWE (Train AI Models Part Time!)

hackajob
Department:Software Engineer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Salary:$41,600 - $41,600
Skills:
PYTHONFASTAPIPYDANTICTYPE HINTSDEPENDENCY INJECTIONUNIT TESTINGINTEGRATION TESTINGASYNC/AWAITDECORATORSGENERATORSCONTEXT MANAGERSPERFORMANCE TUNINGPROFILINGMEMORY OPTIMIZATION
👁️ Views: 17🚀️ Applied: 5
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Job Description

Posted on: March 2, 2026

hackajob is collaborating with Mercor to connect them with exceptional tech professionals for this role. Mercor is recruiting U.S./UK/Canada/Europe-based SWEs for a model-training project with a leading foundational model AI lab. You are a good fit if you: - Have experience working at top US tech firms - Proven track record of building and maintaining complex, production-grade Python systems — not just scripts or notebooks, but full-featured services, tools, or frameworks used in real-world environments. - Deep understanding of Python language fundamentals, including advanced features like decorators, generators, async/await, context managers, and performance tuning (e.g., profiling, memory optimization). - Experience designing modular, testable codebases, using modern Python tooling and best practices (e.g., FastAPI, Pydantic, type hints, dependency injection, unit/integration testing frameworks). Interview Process: - **The vetting process involves a technical interview conducted by a human; you will not be allowed to use an AI IDE (Integrated Development Environment) but you will be allowed to use LLMs or Stack Overflow** Here are more details about the role: - You must be able to commit **around 20 hours per week** for this role - This contract is expected to last at least **1 month** - Successful contributions increase the odds that you are selected on future projects with Mercor - The vetting process involves a 90 minute human interview centered on Python - you will hear back within two weeks With respect to pay and legal status: - **This role will pay $100/h** based on experience

Originally posted on LinkedIn

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👁️ Views: 17🚀️ Applied: 5
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