$35-60/hrAs published by the platform.
This role involves training advanced AI models to correctly understand environmental engineering concepts and identify flaws in their reasoning across water treatment, air quality, and hazardous waste remediation. You will design complex technical scenarios, write authoritative solutions, and critically evaluate AI outputs to improve how models think about environmental systems.
$35-60/hr
Pay as published by the platform. It is not a guarantee of income or hours.
The platform has not published which countries are eligible for this job.
You apply on Alignerr, Labelbox's expert network: create a profile, complete an AI-led interview and skills assessment, then get matched to projects in your field.
Official posting: https://www.alignerr.com/jobs/169a6597-9fa9-4803-9a5d-e6f5d15debb6
Last checked on October 8, 2026.
This role involves helping train and refine AI models on biochemistry topics by designing test problems, writing ground-truth solutions, and evaluating AI-generated scientific reasoning. The position is ideal for PhD-level biochemists who want to apply their expertise to AI development while working flexibly on a remote, hourly contract basis.
This role involves designing, solving, and evaluating advanced chemistry problems to train AI models. Masters and PhD-level chemists will leverage their domain expertise to create rigorous scientific content that enhances AI reasoning capabilities across organic, inorganic, physical, or computational chemistry.
You will write questions and scenarios to test an AI model's ability to correctly judge the potential for misuse of technical requests in chemistry, distinguishing legitimate questions from dangerous requests. This role requires practical expertise as a synthetic chemist or process engineer with experience scaling up reactions, and the ability to write clear technical justifications for non-specialists.
Posted September 14, 2026
This role involves designing realistic evaluation challenges for AI models applied to drug discovery. As an expert in chemistry and molecular biology, you will build complex research scenarios based on real and ambiguous data, where AI must demonstrate genuine reasoning capability rather than simple pattern association. You will be responsible for the entire process: challenge design, data corpus assembly, response evaluation, and iterative revision.
Posted August 31, 2026
This role involves evaluating AI-generated chemical reasoning and responses to identify flawed mechanisms, unsafe procedures, and analytical errors. You will write prompts to test chemical knowledge, review AI outputs for errors, and provide correct expert-level answers with proper attention to safety and experimental conditions.
A drug discovery scientist will design realistic preclinical tasks and evaluate how well frontier AI models perform them, grading responses against professional standards. The role involves creating scenarios based on real workflows, running them through AI systems, and providing detailed feedback on whether the models correctly conduct SAR analysis, DMPK interpretation, screening triage, and other core discovery work.
