About the role

Aplyr's Quick Take

This role is for a Senior Python Full-Stack Engineer focused on building and optimizing systems for AI data pipelines and model evaluation. You'll be developing backend services and tooling, improving existing codebases, and collaborating with various teams. It's a contract position with flexible hours, ideal for someone with strong Python skills and experience in ML model evaluation.

Good fit

This role would suit a developer with 3-5 years of experience in Python and a solid understanding of full-stack development and systems programming. A proactive problem-solver who can communicate well and work independently would thrive here.

Worth noting

The position is contract-based and offers flexible hours, which may appeal to those looking for part-time work. The focus on AI data infrastructure suggests a fast-paced environment with potential for impactful work in machine learning.

About the Job

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Position

Senior Python Full-Stack Engineer — AI Data & Infrastructure

Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)

Role Responsibilities

- Design, build, and optimize high-performance systems in Python 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

- Collaborate with data, research, and engineering teams to support model training and evaluation workflows

- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes

- Participate in synchronous reviews to iterate on system design and implementation decisions

Qualifications

Must-Have

- Native or fluent English speaker

- Full-stack developer experience with a strong systems programming background

- 3-5+ years of professional experience writing production Python.

- Experience building evaluation harnesses for ML models, integrating with inference frameworks.

- Strong background in observability and metrics collection to monitor system reliability and model performance.

- Clear written and verbal communication skills.

- Ability to commit 20–40 hours per week.

Preferred

- 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

Application Process

- Submit your resume

- Complete a short technical screening

- Project matching and onboarding

Skills & Tags

python ai backend data product design

Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
Synthesized from recent postings & public sources

What's promising

•Labelbox offers a robust platform that significantly accelerates AI model training.
•The company is at the forefront of AI data annotation, a rapidly growing field.
•Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

•The niche focus on data annotation may limit broader tech career opportunities.
•Highly specialized roles might require advanced expertise in AI and machine learning.
•Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

•Labelbox uniquely integrates data annotation with AI model improvement.
•The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
•Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Labelbox

Labelbox

labelbox.com

View company

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.