Posted: Jul 25, 2025
Python Infrastructure Engineer — LLM Training & Agent Tooling [AS‑L]
Total Budget: $2,500OtherComputer Code ProgrammingPay Per Hour
Overview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
We need senior‑minded Python engineers to design and maintain the infrastructure that powers our LLM‑training workflow. You’ll architect secure sandboxes, task environments, and CI/CD pipelines; write clean, test‑driven code (pytest); containerize services with Docker; and support researchers who rely on these tools. Applicants should bring 5 + years of professional Python experience, strong Linux command‑line skills, familiarity with FastAPI/Flask back‑ends, and hands‑on knowledge of GitHub Actions or similar CI. Comfort mentoring teammates and adopting AI coding tools (e.g., Cursor, Claude Code) is a plus. The project delivers reusable repositories, scoring pipelines, and developer environments for evaluating agent performance. Work is fully remote for candidates in the Asia‑Low region (Afghanistan through Vietnam). Hourly rates are tiered by experience: Junior $9, Middle $12, and Senior $16 USD. Selected candidates will complete a quick HackerRank assessment and platform coding test before scheduling recruiter interviews.
Total Budget: $2,500Pay Per HourIntermediate1-3 monthsAgency or Individual
Total Budget
$2,500
Pay per Label
$12.5/hr
Time Requirement
20+ hrs/week
Duration
1-3 months
Description of dataset
Python‑based LLM agent tasks and evaluation artifacts
Software
Other
Hiring Type
Agency or Individual
Required Location
Bangladesh, Georgia, India, Indonesia, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam
Workload / Schedule
Flexible schedule, must be able to complete coding test & interivew within 5 days
Software
Other
Data Type
Computer Code ProgrammingLabel Types
Computer Programming Coding
Subject Matter / Industry
Python AI infrastructure, LLM tooling, automation
Language
English
Job Type
Managed Service by OpenTrain
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trainai.co/project