Logo Alignerr

Data Platform Engineer (Python)

Alignerrvia LinkedIn
RemotoSeattle, Washington, UsSêniorCLT12 dias atrás

Salário Estimado

R$ 8.000,00 - R$ 12.000,00

Tecnologias

0de 100

Excelente

Score da Vaga

Descrição da Vaga

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 • 5+ years of professional experience writing production Python for data engineering.
Proficiency with workflow orchestration tools to manage complex dependency graphs. • Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs.
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

Requisitos

  • Native or fluent English speaker
  • Full-stack developer experience with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficiency with workflow orchestration tools to manage complex dependency graphs
  • Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs
  • Clear written and verbal communication skills
  • Ability to commit 20–40 hours per week

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

Benefícios

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

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Informações

NívelSênior
ContratoCLT
LocalSeattle, Washington, Us
RemotoSim
MoedaBRL
Publicada12 dias atrás
FonteLinkedIn

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