Design advanced biology problems that challenge frontier AI systems in molecular biology, genetics, or computational biology.
Create deterministic tasks with exactly one correct answer and submit complete, verified solutions.
Use Python and bioinformatics tools to build problems involving experimental reasoning and computational analysis.
We create high-quality STEM training data for frontier AI models used by leading AI labs. We are a team of experts working to improve model reasoning in scientific domains.
Design difficult chemistry problems that reflect real scientific workflows
Create deterministic tasks with one correct answer and full verified solutions
Develop reasoning-intensive and computationally grounded problems
They create high-quality STEM training data for frontier AI models that is directly used in training and evaluation workflows at leading AI labs. The company is a small team of contractors, and they value technical rigor and clear documentation.
Create original graduate-to-PhD-level academic problems in your field
Write rigorous, step-by-step solutions with exact and verifiable answers
Review AI-generated responses to identify specific reasoning errors
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Design difficult chemistry problems reflecting real scientific workflows.
Create deterministic tasks with one correct answer and full verified solutions.
Develop reasoning-intensive and computationally grounded problems using Python.
Anyone AI creates high-quality STEM training data for frontier AI models used by leading AI labs. The company is a remote-first, small team offering part-time contract work.
Apply deep expertise in microbiome biology and metagenomics analysis to define how AI agents reason through complex datasets.
Build ground-truth benchmark datasets from published microbiome studies to rigorously test AI agent capability.
Work with software engineers and computational biologists to identify confounders and technical artifacts in computational microbiology.
Latch builds intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs. They have a waterfront office near Oracle Park and offer perks like 2x free daily meals, unlimited snacks, and a vibrant community with various clubs.
Design advanced electrical engineering problems for frontier AI training and evaluation.
Create deterministic problems with exactly one verifiable correct answer and complete solutions.
Develop problems covering circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications.
Anyone AI creates high-quality STEM training data for frontier AI models. They are a small, expert team dedicated to improving AI reasoning in technical domains.
Identify real cancer-biology datasets and convert them into rigorous, deterministically-graded tasks for AI agents.
Establish defensible reference analyses and scoring criteria across conclusion types from basic biology to clinical outcomes.
Anticipate plausible agent errors and test handling of experimental variability, incomplete data, and conflicting evidence.
Latch builds rigorous scientific benchmarks for AI agents in biology, partnering with frontier labs and pharma. The team emphasizes cross-domain integration, long-horizon reasoning, and a culture of respectful debate and flexible schedules.
Review and analyze complex biological data sets or technical literature.
Provide detailed written feedback on emerging concepts in genetics and biochemistry.
Participate in occasional remote interviews to explain your analytical reasoning.
Terac is building the world's largest pool of vetted human experts for AI. They work with researchers, AI labs, and product teams to recruit, screen, and pay study participants.
Play a key role in expanding the spatial biology platform and service offerings by designing and optimizing targeted in situ transcriptomics panels.
Develop computational methods, software tools, and analysis pipelines for spatial transcriptomics and multiomics data.
Collaborate with R&D teams to improve probe performance and enable biological interpretation from spatial data.
Singular Genomics invents at the forefront of genomics, developing the G4 Sequencing Platform and G4X Spatial Sequencer. They foster a culture of creativity and technical excellence, celebrating diversity and collaboration as they rapidly mature.
We create high-quality STEM training data for frontier AI models. We are a remote-first company seeking experts in civil engineering to design rigorous problems for AI training.
Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.
Review and advise on evaluation criteria and scoring rubrics for AI-generated outputs.
Create, edit, and validate high-quality benchmark tasks and reference data for AI training.
Analyze model failures, including hallucinations and flawed reasoning, providing expert explanations.
The company specializes in AI evaluation and training, helping define standards for next-generation AI systems. They operate as a partner company that manages applications and next steps, valuing autonomy and expertise in their consultants.
Participate in a remote, AI-moderated interview focused on your engineering workflows.
Walk us through how you design and build scalable computational pipelines from scratch.
Discuss technical tradeoffs in handling the unique scale and complexity of genomic data.
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Design advanced mechanical engineering problems for frontier AI training and evaluation.
Write complete, verified solutions with clearly documented reasoning.
Develop problems that test engineering analysis and multi-step reasoning across mechanics, thermodynamics, and fluid dynamics.
We create high-quality STEM training data for frontier AI models, used directly in training and evaluation pipelines at leading AI labs. As a small, focused team, we value technical precision and rigorous problem-solving.
Champion the development of Owkin's AI Scientist, an agentic system for target and drug discovery.
Lead projects to discover novel drug targets and biomarkers using multimodal patient data and machine learning.
Collaborate closely with biomedical teams and Owkin's Research Technology team to shape tools for pharmaceutical partners.
Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology. They offer a flexible work organization and a friendly, informal working environment with an international team.
Provide genomics algorithm insights for panel design and assay edge cases, working with cross-functional teams.
Define computational strategy for new callers, prototype and benchmark methods, and partner with engineering to productionize.
Serve as genomics consultant on complex escalations, separating biological causes from analytical ones, and turning investigations into durable rules.
Natera is a global leader in cell-free DNA testing dedicated to oncology, women’s health, and organ health. The team consists of highly dedicated statisticians, geneticists, doctors, and other professionals from world-class institutions, fostering a culture of hard work and growth.
Evaluate LLM responses for accuracy, clarity, and completeness.
Fact-check technical claims using authoritative references.
Validate code and outputs, and annotate model performance.
Prolific builds the largest pool of high-quality human data for AI development, serving over 35,000 AI developers, researchers, and organizations. They connect researchers with a global community to collect ethically sourced behavioral data.
Own and improve WDL and Nextflow workflows on AWS infrastructure, ensuring pipelines are easy for scientists to run without engineering support.
Build and harden internal tooling to reduce manual work, and implement testing, monitoring, and alerting to surface failures early.
Partner with science leads and data scientists to get new methods into production, and use coding agents as a routine part of engineering.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated statisticians, geneticists, doctors, and software engineers from world-class institutions, working together to change the landscape of genetic disease management.
Evaluate and rank AI-generated scientific explanations based on accuracy and logic.
Review scientific papers alongside AI-generated abstracts to identify inaccuracies.
Verify AI-generated data against source documentation for material properties and formulas.
Prolific builds the largest pool of quality human data for AI training, connecting researchers with a global participant network. We serve over 35,000 AI developers and organizations, focusing on ethical data collection.