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.
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.
Build and operate ingestion pipelines across telematics provider integrations, handling streaming, polling, and batch with appropriate retry and rate-limiting.
Own the normalization layer: map inconsistent provider payload into canonical vehicle, driver, HOS, and fuel models, and defend that schema as new providers are added.
Design storage and query patterns for high-volume time-series vehicle data, balancing real-time API latency with analytical workloads.
We are Catena, the universal API for fleet telematics data, giving insurers, factors, and freight-tech platforms a single integration to access carrier vehicle data across every major ELD and telematics provider. We're an early-stage startup with $8.25M in funding and a small, hands-on team where you'll have high ownership and direct impact.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Own the multi-quarter vision and roadmap for Generative AI, translating ambiguous business goals into a prioritized technical strategy.
Recruit, lead, and develop a high-performing team of senior and principal-level scientists, fostering innovation and continuous learning.
Establish rigorous evaluation frameworks for LLM-based systems to ensure quality, reliability, and safety in production.
Wellhub is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep in one subscription. Headquartered in NYC with a global team across Europe, North America, and South America, we foster a collaborative culture focused on wellbeing and diversity.
Work closely with enterprise customers to implement graph-powered solutions from design to production roll-out.
Design graph data models and architectures to support complex relationships and high-performance querying.
Act as a trusted technical advisor, providing guidance on best practices for graph technology and AI integration.
Neo4j is the graph intelligence platform that transforms data into knowledge to power next-generation AI and intelligent applications. The company has over 600 employees, is valued at over $2Bn, and serves 84% of the Fortune 100.
Lead the strategy, planning, and delivery of the GIA Data Analytics Hub roadmap, prioritizing projects for audit teams.
Maintain data integrations from enterprise systems, ensuring data quality and availability.
Design parameter-driven Tableau dashboards that enable self-service audit planning and testing.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries.
Improve decisioning systems that affect pricing, offer behavior, workflow routing, and other economically meaningful product outcomes.
Design and run experiments that help understand whether product, rules, prompt, or model changes are actually improving performance.
Build models, heuristics, optimization logic, or evaluation frameworks that improve real-world outcomes under operational constraints.
Pivotal Health is a technology platform that helps healthcare providers get paid fairly in the complex reimbursement landscape. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.