Part-Time Full-Stack Engineers: Farm-Data Platform Development
Job description
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?
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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 or on YouTube at @jointerac.
Skills mentioned
Terac's journey began with a vision to democratize market research, transforming it from a slow, expensive process into an agile, AI-driven engine for human understanding. Founded in 2025 by Zachary Baker and Jack Blair, the company emerged from the realization that traditional methods like surveys and focus groups were failing to keep pace with the speed of modern product development. The founders, leveraging their backgrounds in machine learning and infrastructure, set out to build a 'search engine for human opinion'—a platform where companies could instantly query thousands of consumers and receive structured, actionable insights in hours rather than months. What started as a bold idea to automate qualitative research has rapidly evolved into a sophisticated platform powered by memory-enabled AI agents. These agents are capable of conducting natural, voice-based interviews at scale, adapting to participant responses in real-time to uncover deep insights that static forms often miss. By handling the entire research loop—from recruiting verified participants to analyzing hours of conversation—Terac has empowered product teams, researchers, and founders to make data-driven decisions with unprecedented speed. Today, Terac stands at the forefront of the AI research revolution, helping companies across the globe understand their customers more deeply and build products that truly resonate.
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