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AI Tutor, Financial Analyst

Title: AI Tutor, Financial Analyst

Location: Remote

Job Description:

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google’s AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

Shape the future of AI in Finance! This innovative role as an AI Tutor – Financial Analyst offers a unique opportunity to leverage your legal expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Finance realted content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in the Finance field.

Your Day to Day

    • Train AI models through the formulation and response to field-specific questions
    • Assess and prioritize AI-generated responses based on quality and relevance
    • Utilize expertise in your domain to verify the accuracy and appropriateness of AI-generated text
    • You create your own working hours depending on project length

About You

    • Have carried out financial planning, analysis, budgeting, forecasting and decision support.
    • Experience assisting with evaluation, development, programming, and execution of on-going reconciliations
    • Experience coordinating development and resolution of identified analytical deficiencies.
    • Experience supporting in execution of data strategy and reviewing analytic scripts (Python, Databricks, SQL, ACL)
    • Design and implement technical solutions to improve financial management activities
    • Interest in AI and machine learning concepts

Important Information

This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations..

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.

Pay Range (rate per hour)
$15—$60 USD

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wroclaw, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.