Python Coding Expert – AI Training (Remote, Hourly Contractor)

CNTXT AI; Abu Dhabi; A distancia; AED 202.000 - 405.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Flexible schedule

Descripción de la vacante

CNTXT AI is seeking a remote hourly contractor to evaluate AI-generated Python code and develop cases that test coding accuracy and reasoning quality. You will assess correctness, efficiency, readability, and adherence to real-world engineering standards, identifying bugs and edge cases while documenting clear corrections.

Ideal candidates have a CS/SE background, strong Python skills, and the ability to write precise evaluation notes in professional English.

Formación

• Background in Computer Science, Software Engineering, or related field preferred.
• Proficiency in Python, including data structures, algorithms, libraries, performance optimization, and idiomatic coding practices.
• Ability to read, write, and critically evaluate Python code across varying complexity levels.
• Full professional English proficiency.

Responsabilidades

• Evaluate AI-generated Python code for correctness, efficiency, readability, and adherence to real-world engineering standards.
• Identify bugs, logical errors, edge cases, and anti-patterns in AI outputs, and explain corrections clearly in writing.
• Apply structured evaluation rubrics to score code quality consistently across tasks.
• Develop prompts and test cases that probe AI accuracy across Python programming tasks.
• Rate and compare AI-generated solutions based on correctness, internal consistency, and adherence to the prompt.

Conocimientos

Python

Code review

Test design

Technical writing

Educación

Bachelor's degree in CS/SE

Herramientas

Git

pytest

Descripción del empleo

In this remote, hourly contractor role, you will evaluate AI-generated Python code and develop cases that test coding accuracy and reasoning quality. Tasks may include:

Evaluating AI-generated Python code for correctness, efficiency, readability, and adherence to real-world engineering standards

Identifying bugs, logical errors, edge cases, and anti-patterns in AI outputs, and explaining corrections clearly in writing

Applying structured evaluation rubrics to score code quality consistently across varying task types

Developing prompts and test cases that probe AI accuracy across Python programming tasks, including multi-step problems grounded in real codebases

Rating and comparing AI-generated solutions based on correctness, internal consistency, and adherence to the prompt

Profile Requirements

Background in Computer Science, Software Engineering, or a closely related field preferred

Proficiency in Python, including data structures, algorithms, standard libraries, performance optimization, and idiomatic coding practices

Ability to read, write, and critically evaluate Python code across varying complexity levels

Full professional English proficiency

Exceptional attention to detail

Reliable and self-directed, with consistent output quality in a remote, asynchronous workflow

Preferred Experience

2+ years of professional software engineering experience with Python

Prior experience with AI data training, annotation, or model evaluation

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.