About this Part-Time Full-Stack Engineers: Farm-Data Platform Development role at Terac
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.
What You'll Do
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
Who Should Apply
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
Compensation
$39 per hour
Ready to participate?
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
