AI Trainer for Biology (College Degree Required) (3 DaysLeft)

Alignerr.com is a community of subject matter expertsfrom several disciplines who align AI models by creatinghigh-quality data in their field of expertise to build the futureof Generative AI. Alignerr is operated by Labelbox. Labelbox is theleading data-centric AI platform for building intelligentapplications. Teams looking to capitalize on the latest advances ingenerative AI and LLMs use the Labelbox platform to inject thesesystems with the right degree of human supervision and automation.Whether they are building AI products by using LLMs that requirehuman fine-tuning, or applying AI to reduce the time associatedwith manually-intensive tasks like data labeling or findingbusiness insights, Labelbox enables teams to do so effectively andquickly. Current Labelbox customers are transforming industrieswithin insurance, retail, manufacturing/robotics, healthcare, andbeyond. Our platform is used by Fortune 500 enterprises includingWalmart, Procter & Gamble, Genentech, and Adobe, as well ashundreds of leading AI teams. We are backed by leading investorsincluding SoftBank, Andreessen Horowitz, B Capital, GradientVentures (Google's AI-focused fund), Databricks Ventures, SnowpointVentures and Kleiner Perkins. About the Role Shape the future of AIin Biology. This innovative role as an AI Trainer - Biology offersa unique opportunity to leverage your subject-matter expertise anddevelop your AI skills. You will play a pivotal role in training AImodels, ensuring the accuracy and relevance of Biology contentgenerated by AI. This position allows for flexible scheduling, andyour contributions will directly impact the advancement of AI inBiology. Your Day to Day - Educate AI: Analyze and provide feedbackon AI-generated outputs related to Biology Your guidance willdirectly improve the AI's accuracy and ability to apply itsknowledge to real-world problems. - Problem Solving: Using yourexpertise, you will provide step-by-step solutions and explanationsto complex problems in Biology. This could include solving problemsrelated to genetic inheritance, enzyme kinetics, cellularrespiration, ecological interactions, and human physiology, etc.Your input will be crucial in teaching the AI how to reason throughthese problems effectively. - Red Teaming: Utilize your deepunderstanding of the field to identify potential biases,limitations, or inaccuracies in the AI's knowledge base. Design andconduct tests that push the boundaries of the model'sunderstanding, ensuring its outputs are reliable and applicable toreal-world scenarios. - You create your own working hours dependingon project length. About You - Enrolled in or have completed anAssociates’ degree or higher from an accredited institution. -Fluent proficiency in Biology. - Possess a strong writing stylewith excellent English-language spelling and grammar skills. - Havea critical eye and the ability to clearly articulate the strengthsand weaknesses of written text. - Professional writing experienceas a researcher, journalist, technical writer, editor, or similarroles - Interest in AI and machine learning concepts ImportantInformation This is a freelance position compensated on an hourlybasis. Please note that this is not an internship opportunity.Candidates must be authorized to work in their country ofresidence, and we do not offer sponsorship for this 1099 contractrole. International students on a valid visa may be eligible toapply; however, specific circumstances should be discussed with atax or immigration advisor. We are unable to provide employmentdocumentation at this time. Compensation rates may vary for non-USlocations. Labelbox strives to ensure pay parity across theorganization and discuss compensation transparently. The expectedhourly rate range for United States-based candidatesis below. Exactcompensation varies based on a variety of factors, including skillsand competencies, experience, and geographical location. Pay Range(rate per hour) $15—$150 USD Excel in a remote-friendly hybridmodel.We are dedicated to achieving excellence and recognize theimportance of bringing our talented team together. While wecontinue to embrace remote work, we have transitioned to a hybridmodel with a focus on nurturing collaboration and connection withinour dedicated tech hubs in the San Francisco Bay Area, New YorkCity Metro Area, and Wrocław, Poland. We encourage asynchronouscommunication, autonomy, and ownership of tasks, with the addedconvenience of hub-based gatherings. Your Personal Data Privacy:Any personal information you provide Labelbox as a part of yourapplication will be processed in accordance with Labelbox’s JobApplicant Privacy notice. Any emails from Labelbox team memberswill originate from a @labelbox.com email address. If you encounteranything that raises suspicions during your interactions, weencourage you to exercise caution and suspend or discontinuecommunications. If you are uncertain about the legitimacy of anycommunication you have received, please do not hesitate to reachout to us at for clarification andverification.