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Model Behavior Tutor - Epistemic Rigor & Truthfulness

xAI

Model Behavior Tutor - Epistemic Rigor & Truthfulness

xAI

Remote

·

Remote

·

Full-time

·

2mo ago

薪酬

$83,200 - $83,200

福利待遇

Equity

Unlimited Pto

Learning

Remote Work

必备技能

Airflow

PyTorch

TensorFlow

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

You will ensure Grok reasons carefully, resists motivated reasoning, and communicates uncertainty and evidence proportionately.

Responsibilities

  • Assess model outputs for factual accuracy, logical coherence, fallacious reasoning, and hidden assumptions.

  • Identify subtle ideological capture, statistical fallacies, and rhetorical sleights of hand.

  • Write exemplary reasoning that models intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, and scoping of confidence.

  • Construct adversarial examples and red-team prompts to expose remaining epistemic weaknesses.

  • Contribute to the definition and scaling of constitutional principles for truth-seeking behavior.

Required Qualifications

  • Published analytical work and academic training in a high-rigor field.

  • Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors.

  • Deep knowledge in at least three of: philosophy of science, cognitive psychology, statistics, logic, linguistics, history, economics, or related disciplines.

  • Ability to steel-man opposing views and separate settled knowledge from speculation.

  • Habitual reliance on primary sources and base rates.

Preferred Qualifications

  • Experience in intelligence analysis, investigative journalism, or academic peer review.

Location, Hourly, and Other Expectations

  • If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.

  • We are unable to provide visa sponsorship.

  • For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation

$40/hour - $70/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.

Benefits:

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.

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关于xAI

xAI

xAI

Series B

X.AI Corp., doing business as xAI, is an American company working in the area of artificial intelligence (AI), social media and technology that is a wholly owned subsidiary of American aerospace company SpaceX.

201-500

员工数

Austin

总部位置

$50B

企业估值

评价

2.7

2条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

1.5

职业发展

2.0

管理层

1.5

15%

推荐给朋友

缺点

Product instability (Grok)

Leadership shakeup and instability

High employee turnover

薪资范围

4个数据点

Junior/L3

Junior/L3 · Technical Writer

0份报告

$89,690

年薪总额

基本工资

-

股票

-

奖金

-

$76,237

$103,144

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

20%

体验

正面 20%

中性 60%

负面 20%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Assessment

5

Onsite/Virtual Interviews

6

Final Round

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

AI/ML Concepts