Evaluate AI-generated data science deliverables, including exploratory analyses, statistical models, and machine learning pipelines, for technical quality and rigor.
Design precise grading criteria and provide detailed, evidence-based assessments to distinguish rigorous analysis from flawed work.
Apply your expertise in Python, SQL, and experimentation to improve the reliability and performance of AI systems.
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.
Drive core research: Collaborate with the technical founder and team to develop cutting-edge modeling approaches and iterate rapidly.
Develop RL feedback loop: Design and implement post-training methods that translate high-throughput biological measurements into reward signals.
Bridge wet/dry lab: Partner with experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.
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.
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.
Own the first recommendation features, surfacing relevant connections and opportunities via collaborative filtering and ML.
Handle sparse data and cold-start, keeping recommendations subtle and trustworthy for finance users.
Own evaluation with offline metrics and online experiments, partnering with backend engineering on serving.
Termgrid builds the operating system for private capital markets, helping deal professionals manage financing workflows. Founded in 2019, the company is trusted by 4 of the top 5 global private equity firms, with 1,600+ institutions and 30,000+ professionals using the platform.
Lead and coach a team of data engineers and applied data scientists while fostering team health and high performance.
Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives.
Drive the architecture and delivery of scalable data pipelines, ML models, and algorithmic systems for internal and member-facing experiences.
AllTrails is the app for exploring the outdoors, connecting people to their next adventure. It is home to the world's largest outdoor community, with a team that values positivity, innovation, humility, adaptability, inclusivity, and stewardship.
Develop novel digital measures from high-resolution sensor data.
Design and evaluate algorithms for signal processing, feature engineering, and statistical analysis.
Collaborate with biostatisticians, software engineers, and clinical scientists to support clinical trials.
VivoSense is a science-first digital health company building the future of patient-centered evidence through advanced biosensor analytics. They partner with pharmaceutical companies and academic researchers to transform sensor signals into validated digital measures for clinical trials.
Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.