Remote contract work for hardware engineers on AI training projects: create rigorous, self-contained hardware engineering problems based on realistic scenarios and develop reference solutions with calculations, simulations or scripts (for example Python, MATLAB, Simulink, SPICE or C/C++).
Remote contract work for aerodynamics specialists on an AI training project: create, solve and validate CFD and aerodynamic tasks through command-line workflows, such as preparing domains and meshes, setting boundary conditions, running simulations, computing lift and drag and checking that results are physically valid. Python is used to automate the workflow.
Remote contract work for mechanical engineers on an AI training project: create, solve and validate engineering tasks across structural, thermal, mechanical and multiphysics domains, such as building computational models, meshes, materials and boundary conditions, running simulations and checking results against physical and design constraints. The listing describes the role as very coding-heavy.
Remote contract work for competitive programmers on an AI training project: solve self-contained coding, logic and debugging challenges designed to test advanced AI models, often in unfamiliar codebases or terminal environments, and produce reproducible solutions.
Remote contract work for machine learning engineers on an AI training project: create, solve and validate ML engineering tasks such as implementing or modifying models, building reproducible training or inference workflows, optimizing memory or throughput and debugging numerical or system failures. The listing describes the role as very coding-heavy.
Remote contract work for STEM experts on an AI training project: solve, review and validate challenging problems in your field, use Python for calculations or simulations, and check whether AI-generated answers are technically correct. Fields include chemistry, biology, mathematics, physics, earth and environmental science and robotics. The listing describes the role as very coding-heavy.
Remote contract work for biomedical signal processing and machine learning specialists: create rigorous, self-contained problems with physiological signals and time-series data (preprocessing, filtering, feature extraction, classification or forecasting) and write reference solutions in Python, MATLAB or similar. No prior AI-training experience is required.
Remote contract work for US internal medicine physicians on a customer AI project about inpatient care and documentation: review medical records (including FHIR data and clinical notes), check whether clinical claims are supported by the record, and flag missing, incorrect or inconsistent information such as dose adjustments and medication interactions. This work involves reviewing medical records: read the confidentiality and data-handling terms on the official page before applying.
Remote contract work for chemists: design and critique chemistry and computational chemistry problems and reasoning used to benchmark AI models, review experimental protocols and simulation settings, and analyse chemical, spectroscopic and simulation data. Areas include organic and inorganic chemistry, physical and theoretical chemistry, analytical chemistry, computational chemistry and molecular dynamics, cheminformatics and materials science.
Remote contract work for biologists and bioinformaticians: design, evaluate and critique biology and bioinformatics workflows used to benchmark AI models, review analysis pipelines for genomic, transcriptomic and proteomic data, and analyse datasets such as NGS, RNA-seq, single-cell and protein structure data.