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Terac logoTeracVerified· Posted 7d ago

Part-Time Full-Stack Engineers: Farm-Data Platform Development

Type
Hourly
Location
Remote
Full-Stack EngineeringMachine LearningData PlatformSoftware Development
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About this role

What We're Researching

We're hiring a part-time full-stack engineer to help build across a comprehensive farm-data platform. This permanent role involves developing robust data infrastructure and extending our existing machine learning stack. The work directly supports advanced agricultural analytics and long-term platform growth.

How It Works

You will work remotely on a flexible schedule, committing approximately 15 hours per week to the project. Your responsibilities will include writing production-ready code, integrating new features into the core platform, and supporting machine learning workflows. You will collaborate asynchronously with the rest of the team to ensure seamless deployment and system reliability. This is a long-term engagement expected to last for a year or more, functioning as a permanent team member rather than a short-term contractor.

Who This Is For

We welcome experienced full-stack developers, software engineers, and machine learning engineers looking for part-time, long-term work. The ideal candidate is comfortable managing their own time across any time zone and has hands-on experience building complex data platforms. Professionals with a background in agricultural tech or similar data-heavy industries are strongly encouraged to apply.

Responsibilities

  • Build and deploy features across a farm-data platform
  • Extend and support an existing machine learning stack
  • Write clean, maintainable code for long-term project stability
  • Collaborate remotely with a distributed team on a part-time basis

Requirements

  • Professional experience as a full-stack engineer
  • Familiarity with data platforms and machine learning infrastructure
  • Ability to commit to approximately 15 hours per week for 1 or more years
  • Comfortable working remotely from any time zone
About Terac

A well-funded, well-reviewed newcomer with strong per-study pay and a genuinely simple apply flow. The usual caveat: work depends on active studies matching your field.

AITrainerGigs aggregates this listing from Terac.