Remote Python Code QA for AI Evaluation

CNTXT AI

Abu Dhabi

Remote

AED 202,000 - 405,000

Part time

3 days ago
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Benefits offered by this job

Remote work
Flexible schedule

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
Code review
Test design
Technical writing

Education

Bachelor's degree in CS/SE

Tools

Git
pytest

Job description

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.

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