Mid-Level Full-Stack Engineer - Remote Contract
Listing checked September 22, 2026 · pay as published by AfterQuery
Overview
AfterQuery needs a Full-Stack Engineer to craft production-grade applications that become training data for AI models. You will work with Next.js, Redis, and SQL databases to build end-to-end solutions across domains like dashboards and workflow tools. Each application you create joins a dataset that teaches AI systems how to handle different architectural patterns. The role runs on a remote contract basis with a 40-hour weekly commitment. Your portfolio of diverse apps directly shapes the quality of the AI training set.
What You'll Do8
- 1Build full-stack applications from scratch using Next.js, Redis, and SQL databases.
- 2Create diverse app types such as dashboards, management systems, and workflow tools.
- 3Implement user authentication and data management features in each project.
- 4Add real-time features and reporting capabilities to demonstrate different patterns.
- 5Design database schemas and write efficient SQL queries for production use.
- 6Set up Redis for caching and session management to improve performance.
- 7Develop responsive interfaces with Tailwind CSS.
- 8Ensure smooth data flow between frontend, cache, and database layers.
Requirements7
- 12+ years of professional software engineering experience.
- 2Strong command of Next.js for server-side rendering, API routes, and performant frontends.
- 3Hands-on experience with Redis for caching, session storage, and real-time data.
- 4Solid understanding of SQL databases like PostgreSQL or MySQL, including schema design and query optimization.
- 5Ability to architect full-stack systems that combine Next.js, Redis, and SQL in production.
- 6Experience building efficient data flows between frontend, cache, and database layers.
- 7Proficiency with Tailwind CSS for creating responsive, custom user interfaces.
Who Should Apply
The ideal candidate has at least two years of full-stack experience and can show real projects built with Next.js, Redis, and SQL. You thrive when given a blank slate and a domain, turning requirements into complete apps with authentication, reporting, and real-time updates. This role suits engineers who enjoy variety and can switch between building dashboards, management tools, and workflow systems. Candidates who prefer maintaining a single codebase or working only on frontend or backend will find this less suitable. A common reason for rejection is a portfolio that lacks production-quality end-to-end applications, or failing to show hands-on use of Redis and SQL alongside Next.js in a real project.
Salary Insight
The contract pays between $60 and $100 per hour. That range matches mid-level full-stack engineers with proven Next.js, Redis, and SQL skills. Rates on the higher end typically go to candidates who can show a portfolio of complex, production apps.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$60–$100/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 599 similar roles that publish pay · 101 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Hiring most right now: micro1 (299) · Mercor (93) · SME Careers (69)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation7%
- ai evaluation6%
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Compensation
$60–100/hr
Required Skills
Application Tip
When you submit your portfolio and GitHub, highlight projects where you used Next.js, Redis, and SQL together. Show the architecture and data flow. List your programming languages in a clear, scannable format. Include metrics like response times or user counts to prove production quality.
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