[Remote] Python Software Engineer - AI Workflows
Salário Estimado
R$ 8.000,00 - R$ 12.000,00
Descrição da Vaga
Note: The job is a remote job and is open to candidates in USA.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models.
They are seeking a Senior Python Full-Stack Engineer to design and build high-performance systems in Python that support AI data pipelines and evaluation workflows.
Responsibilities • Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees.
Its website is https://www.alignerr.com/.
Requisitos
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 3-5+ years of professional experience writing production Python
- Strong ability to write clean, maintainable code utilizing linters, formatters, and comprehensive testing frameworks
- Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting
- Clear written and verbal communication skills
- Ability to commit 20–40 hours per week
- 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
Responsabilidades
- 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
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