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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.
Remote read-aloud recording project for native and near-native English speakers: read provided English text aloud following pronunciation and pacing guidelines, record and submit clean audio files, and re-record takes that miss the quality standard. The listing gives a project kickoff of Monday 19 October. You need a quiet room, a reliable internet connection and a phone or computer that records clear audio. This work involves recording your voice: read the consent and privacy terms on the official page before applying.
Remote contract work for application security specialists: build small test applications and deterministic test cases used to evaluate how AI tools and scanners assess application security, write answer keys and documentation, and review peers' contributions. The project focuses on security risks specific to applications that use large language models.
Remote contract work for life scientists: write expert-level scientific problems with verifiable solutions, review AI model answers for scientific accuracy and depth of reasoning, and build rubrics and reference answers grounded in the literature. Areas include genomics, single-cell and spatial omics, proteomics, microbiome, structural biology, drug discovery and translational research.
Remote contract work for researchers in microbiome, clinical and translational science: write expert-level problems with verifiable solutions, review AI model answers for scientific accuracy, and build rubrics and reference answers. Areas include metagenomics, host-microbiome analysis, biomarker discovery, clinical genomics and omics-driven precision medicine.
Remote contract work for computational chemists and structural biologists: write expert-level problems in computational chemistry, structural biology and drug discovery, review AI model answers for accuracy and reasoning, and build rubrics and reference answers. Areas include molecular modelling and simulation, protein structure prediction, docking and virtual screening, QSAR/ADMET and proteomics or metabolomics analysis.
Remote contract work for bioinformaticians: design, evaluate and critique bioinformatics and computational biology workflows used to benchmark AI models, review analysis pipelines and statistical methods, and analyse datasets such as NGS, RNA-seq and variant data.
Remote contract work for applied scientists and data scientists: run statistical analyses, build and validate machine learning models, evaluate AI model answers on statistics, machine learning and experimentation problems, and write expert-level prompts, datasets and reference solutions. No prior AI-training experience is required.
Remote contract work for educators and learning designers: evaluate and improve quizzes, formative assessments and tutoring content used by AI learning tools, apply and refine assessment rubrics, and give expert feedback on accuracy, suitability for learners and alignment with learning objectives.
Join our team as a dynamic Recruiter, leveraging your headhunting expertise to source and secure exceptional talent. This role is ideal for an energetic recruiting professional passionate about building robust pipelines and thriving in a fast-paced startup environment. While the primary work is remote, you’ll be based in San Francisco and play a pivotal role at local career fairs and events every 1-2 weeks.
We are looking for a Data Partnerships Manager to identify, engage, and close partnerships with companies interested in contributing workflow data for AI training and evaluation. You will own the partnership process end-to-end: sourcing companies, running discovery conversations, understanding business workflows, navigating privacy and security discussions, negotiating commercial terms, and onboarding new partners.
micro1 is engaging Privacy Analysts to contribute to a high-impact customer project focused on business data. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance.
You’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead. Your tasks: Build reproducible Reinforcement Learning Environments that test an AI model’s ability to fix code, add features, refactor, and optimize performance - including a golden reference solution for each problem
You’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead. Your tasks: Build reproducible Reinforcement Learning Environments that test an AI model’s ability to fix code, add features, refactor, and optimize performance - including a golden reference solution for each problem
micro1 is engaging Investment Banking – M&A Advisory. to contribute to a customer's project focused on enhancing financial data analysis, modeling, and industry research processes.