Finance Tutor; Remote

Finance Tutor (Remote)

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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

As an AI Tutor – Finance 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 from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives and accounting, 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.

The AI Tutor – Finance Specialist role is a remote, full‑time position.

As an AI Tutor, you will play an essential role in advancing xAI’s mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in finance. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions.

We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate.

An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI.

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high‑quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting‑edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from finance fields that align with your expertise, focusing on areas like investment analysis, taxation, accounting, financial modeling, or risk assessment where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

• Must possess a Master’s or Ph.D. in a finance‑related field (Finance, Economics, Business Administration with a finance focus, or related disciplines) or equivalent professional experience as an investment analyst specializing in equity, commodities, real estate, fixed income, or accounting.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and…