Senior Full-Stack Engineer
AfterQuery • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$140/task
Posted
0d ago
About this Role
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 world's most complex data infrastructure to capture the 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.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
Monetize your niche expertise without the billable hours. At $140/hr, this role offers elite compensation for pure intellectual work—no client management or administrative bloat.
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Frequently Asked Questions
How do I get started?
Review the hiring process above and follow the steps outlined. Each platform has different requirements, so make sure you meet the eligibility criteria before applying.
Is this work legitimate?
Yes. All platforms listed on aitrainer.work are legitimate and pay reliably. However, always verify payment methods and read reviews before committing significant time.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.