Dive into a cutting-edge AI benchmarking project focused on highly specific professional domains like software engineering, healthcare, and finance.
Design realistic scenarios in English or Korean, adapt evaluation rubrics, and review AI responses for accuracy and cultural appropriateness.
Contribute to gold-standard solutions that reflect best practices across your target locale and domain.
Lilt is a company that makes the world's information available to everyone, regardless of language, through multilingual AI and human-verified services for Enterprises, Governments, and AI Developers. The company has a global community of linguists and subject matter experts who thrive on innovation and excellence.
Analyzes hiring data from over 1,200 startups to produce trend reports.
Utilizes AI tools to improve recruiting workflows and efficiency.
Provides insights on source of hire, application volume, and offer acceptance rates.
Ashby is an all-in-one applicant tracking system that supports startups in hiring, providing analytics and AI tools. They serve over 1,200 venture-backed startups, with a team focused on talent trends and data-driven insights.
Design and optimize modular dbt pipelines and performant technical schemas to set the team standard for data modeling.
Act as a technical bridge between Analytics, Operations, and Data Engineering to transform product requirements into robust data assets.
Diagnose performance bottlenecks and lower warehouse compute costs across modern data platforms, supporting migration to Snowflake.
Rula is a mental healthcare company dedicated to providing quality, evidence-based care to empower individuals. It is a remote-first company hiring in most U.S. states, with a culture focused on inclusion and employee well-being.
Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.
FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.
Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
Architect and implement data solutions on cloud platforms (AWS, Azure, or GCP) and optimize database performance.
Serve as a technical leader, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions.
Sagent powers servicers and consumers by transforming the mortgage servicing industry with modern technology. We're a growing joint venture combining Fiserv's fintech expertise with Warburg Pincus, hiring innovators to disrupt the lending space.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Contribute to building smarter, more accurate AI by annotating, evaluating, and creating prompts for language models.
Work flexibly on your own terms with remote projects that fit your schedule and skills.
Be part of a global community of linguists and tech enthusiasts shaping the future of AI.
We are a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world's most advanced AI systems. We are building a diverse community in 100+ countries, offering flexible remote work and limitless opportunities for growth.
Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents and retrieval experiences.
Implement data quality checks, automated testing, observability, error handling, and deployment controls for reliable production data and AI workloads.
FreedomPay provides a commerce platform for global enterprises, powering payments, security, identity, and data analytics. It is a fast-paced, high-growth company with a great culture and business casual atmosphere.
Architect data models and intelligence layer to enable AI agents for nonprofit automation.
Design, build, and deploy machine learning models in production using cloud platforms.
Translate complex data outputs into actionable insights for customers and internal teams.
Neon One creates intuitive nonprofit software to help small and mid-sized nonprofits connect with people and build trust. We are powered by empathy, innovation, and a shared mission to empower organizations making a difference.
You will record and submit high-quality video demonstrations of household tasks to train the robot's AI.
You will follow detailed instructions and incorporate feedback from reviewers to ensure data accuracy.
You will communicate clearly, protect confidentiality via NDA, and complete tasks reliably.
Sunday develops personal robots that reclaim hours lost to household tasks. The team has spent 18 months building talent and validating technology, and is now scaling with a collaborative, innovative culture.