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, flexible hourly contract for senior software engineers working on agentic AI: design and refine workflows where AI plans, writes, tests and iterates on code, evaluate AI-generated code for correctness, efficiency and security, create real-world coding challenges and benchmarks, identify failure modes of autonomous agents and improve evaluation rubrics and test harnesses. Task-based, asynchronous work on your own schedule.
Remote hourly contract for senior software engineers: design coding benchmarks and data pipelines used to evaluate frontier AI models, analyse AI-generated code for correctness and quality, build realistic evaluation scenarios and give detailed technical feedback. The listing states a 3-month initial contract with possible extension; full-time availability is preferred.
Remote full-time work for electrical engineers on an AI lab’s training-data team: design domain tasks and write reference solutions in circuit analysis and design, power systems and power electronics, and embedded and control systems, then evaluate model outputs with written technical feedback. Initial engagement of 3 to 4 months, 40 hours per week, with possible extension.
One-time paid research study for current or former US public defenders: describe in an online survey the work you personally did (responsibilities, tasks and how tasks depend on each other). Written instructions and a study coordinator are provided; no outside research or real work product is needed. This is a one-time paid research study.
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.