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:

You will work on a variety of projects that involve labeling data, writing code, and providing feedback to improve the performance of AI models. Your contributions will directly impact the development of cutting-edge AI technology.

We are seeking talented individuals across three experience levels:

Level 1 (Bachelor's Level):

Strong understanding of fundamental programming concepts.
Proficient in at least one programming language (e.g., Python, Java, C++).
Familiarity with data structures and algorithms.
Basic understanding of machine learning concepts is a plus.

Level 2 (Master's Level):

In addition to Level 1 requirements, experience with software development methodologies (e.g., Agile).
Working knowledge of multiple programming languages.
Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience building and deploying machine learning models.

Level 3 (PhD Level):

Expertise in advanced machine learning techniques (e.g., deep learning, reinforcement learning, NLP).
Strong research background in AI/ML, evidenced by publications or projects.
Ability to design and implement novel algorithms and models.
Excellent communication skills for explaining complex technical concepts.

Your Day to Day:

Data Labeling: Annotate and label datasets for various AI tasks such as natural language processing, computer vision, and more.
Code Evaluation & Debugging: Analyze and assess code snippets generated by AI models, identifying errors and providing feedback for improvement.
Model Training: Contribute to the training of AI models by providing high-quality labeled data and feedback on model performance.
Collaboration: Work independently and as part of a team with other AI professionals, data scientists, and engineers.

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 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 [email protected] for clarification and verification.

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