Job Description
We're currently looking for subject matter experts in Math, Physics, Engineering, Chemistry, and Biology who are interested in working on AI- and LLM-based projects, including data labelling, AI model evaluation, and related tasks on a work-from-home basis. This is a freelance opportunity, and we're looking for candidates who can dedicate 15 or more hours per week. Work will be available regularly, allowing you to maintain a predictable schedule.
Job Responsibilities
* Data Labelling and Annotation: Apply domain knowledge to classify, annotate, and evaluate complex technical material.
* AI Model Evaluation: Critically assess AI/LLM outputs for scientific accuracy, logical rigor, correctness, and clarity.
* Quality Assurance: Verify the integrity of scientific reasoning and methodology in model outputs.
* Task and Dataset Development: Create, refine, and validate domain-specific tasks for training or benchmarking AI systems.
* Collaboration: Work with project managers, data scientists, and researchers to ensure accurate, high-quality deliverables.
Qualifications and Prerequisites
A Bachelor's, Master's, or PhD in one of the subject areas listed below. Candidates should be based in the United States, United Kingdom or Germany and preferably educated at accredited U.S, U.K, or German institutions, ideally with an academic background from a top global university.
* Math: Background in mathematics, statistics, computer science, or data science, with experience in mathematical modelling, statistical inference, numerical analysis, and problem-solving using discrete and computational methods.
* Physics: Background in engineering or the physical sciences (e.g., mechanical, aerospace, physics, or earth sciences), with proficiency in thermodynamics, fluid mechanics, heat transfer, dynamics, differential equations, and strong quantitative, logical, and computational reasoning.
* Chemistry: Background in chemical or biochemical engineering, with expertise in transport phenomena, thermodynamics, reaction engineering, unit operations, materials science, differential equations, and system-level problem solving across bioprocessing, materials, and kinetics.
* Biology: Background in biology or a related life science (e.g., molecular biology, biochemistry, microbiology), with experience in biological systems thinking, experimental design, data interpretation, and hypothesis-driven problem solving.
Additional Information
Please note that only candidates whose profiles are shortlisted will be contacted.
About CACTUS
Established in 2002, Cactus Communications () is a leading technology company that specializes in expert services and AI-driven products which improve how research gets funded, published, communicated, and discovered. Its flagship brand Editage offers a comprehensive suite of researcher solutions, including expert services and cutting edge AI products like Mind the Graph, Paperpal, and R Discovery. With offices in Princeton, London, Singapore, Beijing, Shanghai, Seoul, Tokyo, and Mumbai and a global workforce of over 3,000 experts, CACTUS is a pioneer in workplace best practices and has been consistently recognized as a great place to work.
Awards and Recognition
* Employers of the Future, 2024
* Excellence in Employer Branding (Gold), 2024
* ISO 17100 certification for translation services, 2024
* Future of Workplace Disruptor, 2023
* Top 100 Companies for Remote Jobs (Ranked ), 2023
* Three star "Eruboshi" certification, 2023
* India's Best Workplaces for Women (Top 100), 2022
* Quartz's Best Companies for Remote Workers, 2022
* HR Asia's Best Companies to Work for in Asia, 2021