Python - Senior Developers - AI Training - Cambridge, UK

prolificacademicltd; United States; Remote; USD 57,000 - 81,000; Full time

Benefits offered by this job

Remote work

Flexible task-based work

Up to $50/hour

Job summary

ProlificAcademicLtd is seeking a senior Python engineer to contribute expertise to the training and evaluation of AI systems. You will assess generated code and explanations, test implementations, and provide structured feedback to improve how models handle software engineering problems.

Responsibilities include checking Python code for correctness and readability, reviewing explanations, running scripts to verify behavior, and flagging security or memory-management issues.

Qualifications

• A bachelor’s degree or higher in computer science, software engineering, or a closely related technical field.
• Professional experience as a senior software engineer or developer specializing in Python.
• Ability to solve medium to hard algorithmic problems independently in Python.
• Strong knowledge of Python internals and features, including the GIL, decorators, generators, memory management, and asynchronous programming.
• Familiarity with REST APIs, GraphQL, and testing tools such as pytest or unittest.

Responsibilities

• Check AI-generated Python for correctness, readability, maintainability, and alignment with established practices.
• Review explanations of algorithmic solutions and identify gaps or errors in the reasoning.
• Run generated scripts to confirm their behavior, outputs, and performance.
• Flag inefficient approaches, outdated syntax, nonexistent library features, security issues, and potential memory leaks.
• Give clear feedback on model responses involving backend design, data pipelines, and API development.
• Complete an initial skills assessment as part of joining the expert pool.

Skills

Python

Senior software engineer

Algorithmic problems

Python internals

GIL

Decorators

Generators

Memory management

Asynchronous programming

REST APIs

GraphQL

pytest

unittest

Education

Bachelor's degree or higher

Tools

Django

FastAPI

Flask

pytest

unittest

Job description

Role overview

Contribute senior Python engineering expertise to the training and evaluation of AI systems. Work is task based: assess generated code and technical explanations, test implementations, and provide structured feedback that helps improve how models handle software engineering problems.

Responsibilities

• Check AI-generated Python for correctness, readability, maintainability, and alignment with established practices.
• Review explanations of algorithmic solutions and identify gaps or errors in the reasoning.
• Run generated scripts to confirm their behavior, outputs, and performance.
• Flag inefficient approaches, outdated syntax, nonexistent library features, security issues, and potential memory leaks.
• Give clear feedback on model responses involving backend design, data pipelines, and API development.
• Complete an initial skills assessment as part of joining the expert pool.

Requirements

• A bachelor’s degree or higher in computer science, software engineering, or a closely related technical field.
• Professional experience as a senior software engineer or developer specializing in Python.
• Ability to solve medium to hard algorithmic problems independently in Python.
• Strong knowledge of Python internals and features, including the GIL, decorators, generators, memory management, and asynchronous programming.
• High standards for modular, readable code and familiarity with modern Python conventions.
• Careful review skills, including the ability to spot subtle logic, security, and resource-management problems.
• Experience with Python 3, type hints, and at least one of Django, FastAPI, or Flask; familiarity with REST APIs, GraphQL, and testing tools such as pytest or unittest is relevant.

Benefits and work setup

This is paid, flexible task work, with rates reported as up to $50 per hour depending on skills and experience. Some assignments require an uninterrupted hour, although shorter tasks may also be available. Work can be done remotely; participation follows a short assessment and successful qualification.