Terac
Technical Recruiters: Interview on Full-Cycle Hiring Workflows
Global
TeracPosted Oct 14, 2026
Work Type
Remote
Location
Global
Compensation
$39 – $42 USD
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.
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.
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.
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
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
You will be engaged as an independent contractor.
This is a fully remote opportunity that can be completed on your own schedule.
Opportunities can be extended, shortened, or concluded early depending on needs and performance.
Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
Payments are processed weekly based on services rendered.
We are unable to support H1-B or STEM OPT candidates at this time.
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