Data Platform Engineer (Python)

Alignerr Corp.; New York (NY); Remote; USD 96,000 - 152,000; Part time

Job summary

Alignerr is seeking a Senior Python Full-Stack Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems that AI labs rely on to train and improve models. This is a fully remote hourly contract role with 20–40 hours per week, embedded alongside data, research, and engineering teams.

You will build high-performance Python systems, develop backend services for data annotation and quality control, and collaborate closely with cross-functional teams to support model

Qualifications

• 5+ years of professional experience writing production-grade Python for data engineering.
• Strong full-stack development background with solid systems programming fundamentals.
• Able to commit reliably to 20–40 hours per week.

Responsibilities

• Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for data annotation, validation, and quality control.
• Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases.
• Collaborate with data, research, and engineering teams to support model training and benchmarking.
• Participate in design reviews to iterate on architecture and implementation decisions.

Skills

Python

Full-stack development

Data pipelines

Workflow orchestration

Cloud data warehouses

Dataframe processing

Job description

About The Role

What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.

This is a fully remote contract role working on real production systems — not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

• Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control
• Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
• Collaborate directly with data, research, and engineering teams to support model training and benchmarking
• Participate in synchronous design reviews to iterate on architecture and implementation decisions
• Improve performance, safety, and scalability across existing infrastructure

Who You Are

• Native or fluent English speaker with clear written and verbal communication skills
• 5+ years of professional experience writing production-grade Python for data engineering
• Strong full-stack developer background with solid systems programming fundamentals
• Proficient with workflow orchestration tools for managing complex dependency graphs
• Experienced with dataframe processing libraries and cloud data warehouse SDKs
• Able to commit reliably to 20–40 hours per week

Nice to Have

• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
• Experience with distributed systems or developer tooling

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
• Fully remote and flexible — work from wherever you do your best thinking
• Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
• Make a direct, tangible impact on the systems that shape how AI models learn and improve
• Potential for extended engagement and expanded scope as projects evolve