Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. 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 RoleShape the future of AI in Biology.
This innovative role as an AI Trainer - Biology offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Biology content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in Biology.
Your Day to Day- Educate AI: Analyze and provide feedback on AI-generated outputs related to Biology Your guidance will directly improve the AI's accuracy and ability to apply its knowledge to real-world problems.
- Problem Solving: Using your expertise, you will provide step-by-step solutions and explanations to complex problems in Biology. This could include solving problems related to genetic inheritance, enzyme kinetics, cellular respiration, ecological interactions, and human physiology, etc. Your input will be crucial in teaching the AI how to reason through these problems effectively.
- Red Teaming: Utilize your deep understanding of the field to identify potential biases, limitations, or inaccuracies in the AI's knowledge base. Design and conduct tests that push the boundaries of the model's understanding, ensuring its outputs are reliable and applicable to real-world scenarios.
- You create your own working hours depending on project length.
About You- Enrolled in or have completed an Associates’ degree or higher from an accredited institution.
- Fluent proficiency in Biology.
- Possess a strong writing style with excellent English-language spelling and grammar skills.
- Have a critical eye and the ability to clearly articulate the strengths and weaknesses of written text.
- Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles
- 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.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidatesis below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Pay Range (rate per hour)
$15—$150 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 for clarification and verification.
