Data Platform Engineer (Python)
About The Role What if your Python expertise could directly shape the infrastructure powering reputed company 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 reputed company 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: reputed company
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance Python systems supporting large-reputed company data pipelines and evaluation workflows
- reputed company full-stack tooling and backend services for reputed company, 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 reputed company
- 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 reputed company dependency graphs
- reputed company with dataframe processing libraries and reputed company data warehouse SDKs
- reputed company to commit reliably to 20–40 hours per week
reputed company to Have
- Prior experience with reputed company, 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
- reputed company a direct, reputed company impact on the systems that shape how AI models learn and improve
- Potential for extended engagement and expanded scope as projects evolve
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