Frontend Engineer - AI Trainer

AfterQuery; Cambridge (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

AfterQuery in Cambridge, MA is seeking a Full Stack Engineer to build production-quality applications across diverse domains using Next.js, Redis, and SQL.

You will implement authentication, data management, real-time features, reporting, and complex business logic while collaborating across teams. The role emphasizes scalable, end-to-end solutions that contribute to AI training datasets.

Qualifications

• Strong proficiency in Next.js including server-side rendering and API routes.
• Experience with Redis for caching and real-time data handling.
• Solid experience designing and working with SQL databases (PostgreSQL, MySQL, or similar).
• Ability to architect full stack applications that leverage Next.js, Redis, and SQL in production.
• Experience implementing efficient data flows between frontend, caching layer, and database.
• Tailwind CSS for rapidly building responsive, utility-first interfaces.
• 2+ years of professional experience raising the bar for reliability.

Responsibilities

• Design and develop complete, production-quality applications from scratch across various domains and use cases using Next.js, Redis, and SQL databases.
• Build diverse application types including dashboards, management systems, workflow tools, and data-driven platforms that demonstrate different feature sets and architectural patterns.
• Implement comprehensive functionality in each application including user authentication, data management, real-time features, reporting, and complex business logic.

Skills

Next.js

Redis

SQL databases

Tailwind CSS

2+ years

Job description

AfterQuery empowers foundational AI labs, enterprises, and startups by providing high-quality human-generated datasets that are essential for fine-tuning more capable, refined, and reliable AI systems. We are on the forefront of creating the most complex data infrastructure to capture the most useful data for our major clients. We have raised our most recent round from BoxGroup, YC and a group of strategic angels that will push us to be at the forefront of the industry.

We're seeking a Full Stack Engineer to build diverse, production-quality applications that will serve as training examples for AI models. You'll create complete, functional end-to-end applications across various domains and use cases - each application you build becomes part of our AI training dataset. Your work will involve developing a wide range of software solutions that demonstrate different architectural patterns, features, and implementations.

Responsibilities

• Design and develop complete, production-quality applications from scratch across various business domains and use cases using Next.js, Redis, and SQL databases
• Build diverse application types including dashboards, management systems, workflow tools, and data-driven platforms that demonstrate different feature sets and architectural patterns
• Implement comprehensive functionality in each application including user authentication, data management, real-time features, reporting, and complex business logic

Required Qualifications

• Strong proficiency in Next.js for building modern, performant frontend applications with server-side rendering and API routes
• Experience with Redis for caching, session management, and real-time data handling to optimize application performance
• Solid experience designing and working with SQL databases (PostgreSQL, MySQL, or similar) including schema design, queries, relationships, and optimization
• Ability to architect full stack applications that effectively leverage Next.js, Redis, and SQL databases together in production environments
• Experience implementing efficient data flows between frontend, caching layer, and database to ensure responsive user experiences Retry
• Experience with Tailwind CSS for rapidly building responsive, custom user interfaces with utility-first styling
• 2+ years of experience

About AfterQuery

AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.

We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.