xai

Systems Engineering Tutor

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At a Glance

Location
Remote
Work Regime
remote
Posted
2026-02-19T14:59:23-05:00

Key Requirements

Domain Knowledge

  • Engineering

Requirements

Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field.

Proficiency in reading and writing, both in informal and professional English.

Strong ability to navigate various information resources, databases, and online resources are essential.

You display outstanding communication, interpersonal, analytical, and organizational capabilities.

Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

You have a strong passion for and commitment to technological advancements and innovation.

Compensation & Benefits

$45/hour - $75/hour

The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.

Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.

xAI is an equal opportunity employer. For details on data processing, view our

Recruitment Privacy Notice

.

Responsibilities

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an

AI Tutor - Industrial/Systems Engineering

specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Use proprietary software applications to provide input/labels on defined projects.

Support and ensure the delivery of high-quality curated data.