Alignerr

Data Platform Engineer (Python)

Company : Alignerr

Location : Denver, CO

Job Type : Full Time

Date Posted : 4 September 2026

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
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