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Software Engineering alignerr

Python Software Engineer - AI Workflows

Alignerr Remote Posted 0 days ago

Education

Any

Type

Pay Rate

$62.5/task

Posted

0d ago

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About this Role

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 production Python codebases
  • Integrate AI services and APIs with robust error handling and edge case coverage
  • Identify bottlenecks and failure modes in data and system behavior, then implement scalable solutions
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions

About the Role

What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior full-stack Python engineers to design and build 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 working on real production systems — not toy projects. If you're a sharp engineer who wants to work at the frontier of AI development, this is the role for you.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week

Who You Are

  • 3–5+ years of professional experience writing production-grade Python
  • Strong full-stack developer with a solid systems programming background
  • You write clean, maintainable code and naturally reach for linters, formatters, and comprehensive test coverage
  • Experienced gluing together AI services and APIs with confidence — you anticipate edge cases before they bite
  • Clear, direct communicator — both in writing and in technical discussions
  • Native or fluent English speaker
  • Available to commit 20–40 hours per week

Nice to Have

  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background working directly with AI labs or research teams

Why Join Us

  • Work on cutting-edge AI projects alongside leading research labs — real systems, real impact
  • Fully remote and async-friendly — work from wherever you do your best work
  • Freelance autonomy with the structure of meaningful, technically challenging projects
  • Contribute directly to the infrastructure that shapes how next-generation AI models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Requirements

  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Software Engineering

Eligible Languages

Fluent proficiency in English

English

Compensation Analysis

What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior full-stack Python engineers to design and build 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 worki

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Frequently Asked Questions

What is the assessment actually like?

Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.

How quickly can I start earning after I pass?

Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.

Is there a community?

Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

What is the barrier to entry?

Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.