Principal Python Engineer — ML Infrastructure
Alignerr • Remote
Education
Master's
Type
Hourly
Pay Rate
$50–$75/hr
Listed
106d ago
Apply opens Alignerr in a new tab.
Apply Now → ⚡ Boost your chances - Optimize your resume with Rezi.aiWhat We Know About This Role
- Weekly hours
- 20–40 hrs/week
About this role
From the Alignerr listing
What You'll Do
- Design, build, and optimize high-performance Python systems that power 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 production Python codebases
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Drive architectural and system design decisions through synchronous technical reviews
About the Role
What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world? We're looking for a Principal Python Engineer in Austin to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale. This is a fully remote, flexible contract role for a seasoned engineer who thrives in high-performance, distributed environments and wants to work on problems that matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
Who You Are
- Native or fluent English speaker with strong written and verbal communication skills
- Senior full-stack developer with a strong systems programming background
- 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering
- Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns
- Intimately familiar with Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads
- Able to drive technical strategy and architectural decisions clearly and confidently
- Available to commit 20–40 hours per week
Nice to Have
- Prior experience with data annotation, data quality, or model evaluation systems
- Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
- Experience with distributed systems architecture or internal developer tooling
Why Join Us
- Work directly with leading AI research labs on production systems that shape next-generation models
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of high-impact, technically demanding work
- Collaborate with top engineers and researchers on problems at the frontier of AI infrastructure
- Potential for ongoing engagement and expanded scope as projects grow
Interview Prep
This listing calls for this tool directly. Prep for the technical screen:
Why this role
What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world? We're looking for a Principal Python Engineer in Austin to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale. This
Talent pool
We're light on STEM candidates
We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
Set up your profileSkills and categories
Explore other opportunities in related specializations:
Related jobs
Browse All Jobs from Alignerr
Discover more opportunities on Alignerr that match your skills and interests.
View All Alignerr Jobs →Verified Reviews
Community Reviews
Share your experience with Alignerr
Help other candidates make better decisions by leaving a review.
Sign in to leave a reviewLeave your review
Common questions
How soon can I start earning on Alignerr after passing the assessment?
Not right away. After passing, you still complete identity verification through Persona and billing setup through Deel, then wait in a pool for weeks or months. You only start earning once a project matching your specific skills launches and assigns you. Don't count on Alignerr income until you're actively placed on a project.
Does Alignerr have a trainer community?
Yes, and it's a genuine strength. Once you're assigned to a project, you join Slack channels where you can get rubric clarifications from admins and talk to other trainers. That kind of support is rare in AI training and matters most when guidelines are ambiguous or shift mid-project.
Is academic-niche AI training a continuous job?
Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.
Is academic-niche AI training just data labeling?
No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.
What does STEM work look like for a Principal Python Engineer — ML Infrastructure?
Tasks here are scoped to STEM, not generic labeling. As a Principal Python Engineer — ML Infrastructure, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Coding, Python, and English are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How many hours per week does this role require?
Based on the listing, this role is scoped at 20–40 hours per week. Treat this as a real commitment expectation, not a loose estimate.
How much does this specific role pay?
This listing is posted at $50–$75/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
Do I need a Master's to qualify?
This role lists a master's degree as a requirement. In practice, the domain assessment is the real gate. If you can pass it, the degree is usually secondary. However, some platforms verify credentials formally, so list your actual qualifications accurately on your profile.
What is the barrier to entry for Alignerr?
A difficult, timed technical assessment in your specific domain, like Python, physics, or language. Passing it is required before you're eligible for any paid projects.