OpenRecently verified

AI Tutor - Software Engineering

  • Software Engineering
  • Platform: xAI

About this job

This role supports AI model training by writing, correcting, and curating code examples in specialized programming languages. It suits experienced software engineers who can judge whether code meets professional standards for performance, scalability, and reliability.

What you'll do

  • Curate code examples and provide precise solutions with meticulous corrections.
  • Evaluate and refine AI-generated code against industry standards.
  • Ensure code meets enterprise-level quality and performance benchmarks.
  • Collaborate with cross-functional teams to improve AI-driven coding solutions.

Requirements

Docker

    Pay

    Pay not disclosed

    The platform does not publish the pay for this job.

    Location

    The platform has not published which countries are eligible for this job.

    How to apply

    You apply on xAI's careers board: submit the application for the AI Tutor role, then complete the assessments and interviews described in its posting.

    All xAI jobs and how the platform works

    Source

    Official posting: https://job-boards.greenhouse.io/xai/jobs/5063490007

    Last checked on October 8, 2026.

    Similar jobs

    • Software Engineering
    • Platform: Alignerr
    • Level: Intermediate

    This remote contract role involves designing and building the software that measures how well AI models perform, including evaluation pipelines, automated testing harnesses, and internal dashboards and APIs. It suits senior engineers who have shipped production systems and want to work closely with AI research teams on reliable, repeatable evaluation tooling.

    • Software Engineering
    • Platform: Alignerr
    • Level: Intermediate

    This role involves evaluating and providing feedback on AI-generated Python code for correctness, efficiency, and security while designing complex backend algorithmic solutions. It is designed for experienced backend Python developers who want to contribute to cutting-edge AI research by helping train the next generation of AI systems to write better code.

    • Software Engineering
    • Platform: Terac
    • Location: United States

    This remote study asks practicing software engineers to review programming tasks and the evaluation harnesses built to test AI agents on them. You will check whether the tasks, test cases and environment structure reflect realistic software engineering work. It suits engineers with solid experience building, testing and reviewing complex systems.

    Posted October 2, 2026

    • Software Engineering
    • Platform: Mercor
    • Location: United States
    • Level: Intermediate

    You will evaluate the quality and correctness of AI-assisted software development traces used to train and assess models at a leading AI laboratory. You must judge the accuracy of coding sessions, the consistency of workflows, and the quality of reasoning, then provide structured written feedback according to an evaluation grid.

    Posted August 28, 2026

    OpenRecently verified$70-90/hr

    Referral link: we may earn a fee. Apply without it

    • Software Engineering
    • Platform: DataAnnotation

    Backend engineers will evaluate how AI models reason about system design, data modeling, and API contracts, identifying failures like race conditions and N+1 queries that only surface under real load. The role involves stress-testing model-generated backend code and writing correct solutions when models fall short, with explicit attention to scaling and consistency trade-offs.

    Talent poolRecently verified$40-150/hr

    Keep exploring