Posted: Jul 25, 2025
Python Infrastructure Engineer — LLM Training & Agent Tooling [US‑CA]
Total Budget: $7,400OtherComputer Code ProgrammingPay Per Hour
Overview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
We’re seeking senior‑minded Python engineers who can own the infrastructure underpinning our LLM‑training workflow. You should bring 5 + years of hands‑on Python, deep Linux and Docker fluency, and proven experience designing CI/CD pipelines (GitHub Actions preferred). The role centers on building secure sandboxes, task frameworks, and scoring pipelines for agent evaluation—so familiarity with FastAPI/Flask back‑ends, pytest‑driven testing, and modern dev‑environment tooling (devcontainers, Makefiles) is essential. Clear English communication, a collaborative mindset, and the ability to guide AI researchers through these tools are must‑haves; prior work on platforms like Remotasks, Outlier, or DataAnnotation (coding tasks) is a strong bonus. You’ll deliver reusable repos, automated evaluation pipelines, and developer environments that let experts iterate quickly on agent tasks. Positions are fully remote for talent located in the United States and Canada, with hourly compensation tiered by experience: Junior $34/hr, Middle $37/hr, and Senior $42/hr (USD). Short‑listed candidates will complete a timed HackerRank assessment and a platform coding test before progressing to recruiter interviews.
Total Budget: $7,400Pay Per HourIntermediate3-6 monthsAgency or Individual
Total Budget
$7,400
Pay per Label
$37/hr
Time Requirement
20+ hrs/week
Duration
3-6 months
Description of dataset
Python LLM‑agent tasks and evaluation outputs.
Software
Other
Hiring Type
Agency or Individual
Required Location
Canada, Usa
Workload / Schedule
Flexible schedule, must be able to start immediately
Software
Other
Data Type
Computer Code ProgrammingLabel Types
Computer Programming Coding
Subject Matter / Industry
Python AI infrastructure, LLM tooling pipelines.
Language
English
Job Type
Managed Service by OpenTrain
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