Create original graduate- and PhD-level problems within your STEM expertise.
Develop rigorous, step-by-step solutions and review AI-generated responses for accuracy.
Work fully asynchronously through an online platform to contribute to AI reasoning research.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to streamline recruitment and are part of a network of partner companies.
Run open-ended research projects using the internet as the primary tool.
Turn messy findings into clean outputs: matrices, briefs, landscape maps.
Use AI tools aggressively and build lightweight tools when needed.
A private design studio building and supporting a portfolio of companies across software, hardware, hospitality, and more. An affiliate of Expa, it also runs an early-stage investment fund and a founder cohort program.
Serve as the scientific authority on ground truth for AI agents in neuroscience, testing expert-level reasoning across all system levels.
Build benchmark tasks and datasets for normal function and disease, curating multi-modal data and writing gold-standard expert answers.
Set hard calls on contested claims and interrogate agent reasoning, challenging fluent but unsound conclusions.
Latch builds rigorous scientific benchmarks for AI agents across biology, working with frontier labs and pharma to test whether agents can handle real biological workflows. The culture is radically transparent, opinionated but respectful, with structured autonomy, regular outings, and a preference for onsite work in SF.
Design, build, and ship production AI solutions on Anthropic's Claude platform for enterprise clients.
Develop agentic workflows, MCP servers, and RAG pipelines to connect Claude to client data systems.
Work as an individual contributor within a delivery team, partnering directly with client stakeholders to deploy and harden AI solutions.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft data stack. They help enterprises break free from stagnation and make better decisions, with a culture focused on growth mindset, humility, and active communication.
Conduct AI research on enterprise agentic systems, focusing on agent memory, continual learning, safety, and privacy.
Work with real enterprise deployments to test hypotheses and advance the state of the art in AI.
Publish findings at top-tier venues and influence technical decisions across product and engineering teams.
ServiceNow is a global cloud platform company that uses AI to connect people, systems, and processes for enterprise business reinvention. The company serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Complete two six-month rotations across teams like Lending, Risk, Fraud, Growth, Marketing, Sales, Finance, Product, or People.
Start with onboarding and context, then take on real problems, make decisions, and earn autonomy as you grow.
Finish with a capstone presented to the C-team, and receive a full-time offer with equity if operating at or above standard.
Addi is a global fintech company that serves millions of customers and moves billions of dollars, creating pride and abundance among its users. The company has been recognized by Fortune, Fast Company, and Financial Times as one of the world's most innovative companies, with a culture focused on solving hard problems at the intersection of business, technology, and AI.
Lead and accelerate the Applied White-Box Methods team's research agenda on AI safety.
Develop and evaluate white-box methods on realistic large-scale agentic coding tasks.
Publish findings and engage with the AI alignment community and external partners.
FAR.AI is a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial for everyone. Since its founding in July 2022, it has grown to 50+ staff, published 40+ academic papers, and convened leading AI safety events.
Conduct research on enterprise agentic AI, including agent memory, continuous learning, safety, and privacy.
Leverage unique access to real enterprise deployments to test hypotheses and advance the state of the art.
Publish at top-tier venues and collaborate with cross-disciplinary teams to influence product decisions.
ServiceNow is the AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is a global leader with over 8,100 customers, building an AI-native culture where technology and talent are unstoppable together.
Develop agentic research systems to automate mechanistic model development for biochemical and physiological processes.
Design and train machine learning models for in-context learning and few-shot adaptation on molecular and tabular data.
Collaborate with chemists and biologists to drive drug discovery decisions using AI models.
PostEra is building an AI-first biotech, using its Proton AI platform to accelerate the discovery of new medicines for patients. The company has a minimalist organizational structure, celebrating individual achievement through proportional compensation and collaboration toward delivering cures.
Design, run, and analyse large-scale RL post-training experiments such as RLHF and RL from verifiable rewards.
Research and develop methods that improve out-of-distribution generalization, including reward design, task diversity, and regularization.
Build held-out evaluations to measure generalization and catch reward hacking, and turn successful research into production training recipes.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation models and end-to-end products for businesses. We are a global team of researchers, engineers, and designers passionate about their craft, headquartered in Toronto with offices worldwide.
Create and publish coding benchmarks that challenge state-of-the-art frontier agents.
Shape the frontier of coding agents and publish impactful studies of interesting findings.
Help top AI labs improve their models for coding through benchmarks, open-source tools, and research.
Handshake's mission is to organize expert human knowledge to advance the AI economy, working directly with frontier labs on data, evaluations, and post-training challenges. It is a rapidly growing startup with a small, high-ownership technical team from top AI companies.
Design realistic healthcare and medical tasks that challenge advanced AI agents.
Analyze clinical records, research findings, and healthcare data to identify inconsistencies and errors.
Develop reference solutions and evaluation criteria for AI-generated medical analyses.
Anyone AI creates high-quality training and evaluation data for frontier AI models. The company offers flexible, remote contract work focused on expert-driven AI evaluation and improvement.
Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.
Partner with the founding AE as the technical owner on every active North America opportunity.
Run technical discovery, design and drive POCs and benchmarks that prove Featherless against incumbent solutions.
Build the demo environment, reusable technical collateral, and the sales engineering function from scratch.
Featherless.ai builds a reliable open-model inference platform offering instant access to 40,000+ open-source AI models. Backed by AMD and top venture funds, this well-funded team of researchers and engineers is democratizing AI through performance and accessibility.
Drive down proving cost for zero-knowledge proofs of AI inference.
Build production-quality proof systems for frontier-scale models.
Own the path from research prototype to deployable verification tools.
SASH's Verification team builds and tests tools to verify international agreements about AI, prototyping new verification mechanisms and working with policymakers. They are a small, globally distributed team combining technical expertise with international AI policy experience.
Define AI and digital strategy for major client engagements, owning opportunity portfolios from discovery through scale roadmaps.
Build and present executive-level business cases, design evaluation strategies, and create reusable strategy accelerators.
Serve as senior strategic partner to client leadership, mentor analysts, and contribute to business development and practice growth.
Robots & Pencils is an applied AI engineering firm designing and shipping AI co-workers that integrate into enterprise operations for measurable results. We are a smaller, senior team of 15+ year veterans who move fast and sweat details.
Build and refine models of AI takeoff and estimate their key parameters from public data and new experiments.
Work with engineers to execute large-scale experiments on frontier models and design proposals for safely pacing automated AI R&D.
Publish research papers and engage with academic, policy, and industry communities to help prepare for AI's transformative effects.
P-Zero Research is a public benefit corporation working to improve the long term trajectory of artificial intelligence. It aims to forecast and mitigate the risks of automated AI R&D and values alignment with its mission to keep AI safe.
Own the research roadmap for recursive self-improvement and ship what works into production.
Design agent strategies, exploration policies, and evaluations for autonomous LLM research systems.
Partner with applied scientists and build production-quality experiments end to end.
Sequen builds Recursive Ranking Intelligence (RRI), an autonomous engine where AI agents perform ML research in clients' clouds or on Sequen-hosted instances. It is a small, highly technical, early-stage team turning AI advances into production ranking systems.
Evaluate and label AI model outputs to improve performance and alignment with project guidelines.
Create prompts, rewrite text, and generate training data for large language models.
Work on flexible, remote, project-based tasks while helping shape the future of AI.
Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company delivers high-quality data and outstanding outcomes for customers.
Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.