Program Overview
Handshake is recruiting exceptional bachelor's graduates with a focus in plant biology/botany/plant sciences to join our AI research community. This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) within specialized domains and subdomains. The MOVE program runs year-round, though project availability will vary by domain.
Put AI to the test with real-world expertise and evaluate where they excel or fail
Get paid for your expertise while contributing to AI research
Join a community of master’s, PhDs and AI researchers from top universities
Program Details
The position is remote and asynchronous - work independently from wherever you are.
Flexible hours and the ability to work remotely, with a commitment of approximately 10 to 20 hours per week.
Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses.
Dedicate time researching topics that are interesting to you, with the assistance of AI.
Learn new skills while contributing to the changing world of AI across various disciplines.
Placement into a project will be dependent on project availability.
Who Should Apply
Must be a junior, senior or graduated with a Bachelor's degree in the following:
Plant biology
Horticulture
Plant sciences
Must be at or have graduated from a top 20 undergraduate institution
Able to participate in primarily asynchronous work in partnership with leading AI labs.
Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field.
This program is open to U.S.-based students, candidates, and recent graduates with valid work or training authorization (e.g., F-1/OPT, J-1, H-1B). Participants are responsible for ensuring compliance with their visa conditions and confirming eligibility with their program or visa sponsor prior to applying.
Compensation
Compensation is around $30-$50/hr depending on the project.
The compensation reflects our commitment to ensuring your contributions are rewarded at a level commensurate with your expertise.
How to Apply
1
Submit your application below
2
Take part in a short interview
3
Paid training and certification
4
Start assigned project
