Alignerr · 9 hours ago
Data Platform Engineer (Python)
United States
Contract
Remote
Senior Level
$50/hr - $75/hr
5+ years expAlignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. The Senior Python Full-Stack Engineer will design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Computer Software
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
Qualification
Required
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
Company
Alignerr
We're looking for experts to help train better AI.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase