Freelance Subject Matter Expert - AI and LLM Projects

Freelance Subject Matter Expert - AI and LLM Projects

Join to apply for the Freelance Subject Matter Expert - AI and LLM Projects role at Cactus Communications

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 Germany, and preferably educated at an accredited German institution, 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.