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AI Tutor, Coding (project based)

Labelbox

Labelbox

Software Engineering, Data Science
United States · Remote
Posted on Wednesday, May 8, 2024

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! As an AI Tutor - Coding, you'll play a critical role in shaping the future of AI. You'll leverage your subject-matter expertise to train and evaluate AI models, ensuring the information they generate is reliable and relevant across various domains. This position offers a unique path for professional growth, allowing you to hone your AI skills while expanding your knowledge base.

Your Day to Day

  • Assess the quality of AI-generated code and provide human-readable summaries explaining your evaluation.
  • Solve coding problems by writing functional and efficient code.
  • Create human-readable summaries of coding problems and their solutions.

About You

  • Fluency in English with the ability to articulate code and abstract concepts clearly.
  • Proficiency with one or more of the following programming languages is preferred: Python, Java, JavaScript/TypeScript, SQL, C/C++/C#, and/or HTML.
  • Bachelor's degree in Computer Science or equivalent. Students are welcome.
  • Proficiency working with any of the the following (in addition to the languages above): Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, and Shell
  • 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.

Pay Range (rate per hour)
$30$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 Wrocław, 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.