Senior Python Full-Stack Engineer — AI Data & Infrastructure
Alignerr · Remote · Coding / software engineering
Senior Python Full-Stack Engineer — AI Data & Infrastructure is an open role at Alignerr, available remotely, with pay listed as $50–$75/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $50–$75/hrStated by Alignerr
- Location
- Remote
- Work type
- Coding / software engineering
- Field
- Coding
- Listed
- Since Oct 4, last confirmed Oct 23
How the pay compares
Higher than 46% of the 79 distinct hourly rates advertised for Coding roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Senior Python Full-Stack Engineer — AI Data & Infrastructure About the Role What if your Python expertise could directly shape the infrastructure powering the next generation of AI?”
Show the full listing
Senior Python Full-Stack Engineer — AI Data & Infrastructure About the Role What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote contract role for a seasoned engineer who wants meaningful, high-impact work — not just another CRUD app. You'll work on real production systems at the frontier of AI development, collaborating with data, research, and engineering teams who are building things that matter. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control Improve reliability, performance, and safety across existing Python codebases Identify bottlenecks and edge cases in data and system behavior, then implement scalable, production-ready fixes Collaborate with research and engineering teams to support model training and evaluation workflows Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communication skills Full-stack developer with a strong systems programming background 5+ years of professional experience writing production-grade Python Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading Experienced with type safety tools like Pydantic and mypy Proven track record building robust backend services (FastAPI, Django) or scalable data pipelines Able to commit 20–40 hours per week with reliability and consistency Nice to Have Prior experience with
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Frequently asked questions
How do I apply for the Senior Python Full-Stack Engineer — AI Data & Infrastructure role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Senior Python Full-Stack Engineer — AI Data & Infrastructure role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Senior Python Full-Stack Engineer — AI Data & Infrastructure role at Alignerr pay?
Alignerr lists this role's pay as $50–$75/hr, quoted from the listing rather than estimated.
What kind of work is Senior Python Full-Stack Engineer — AI Data & Infrastructure?
Coding / software engineering. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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