H
AI

MACHINE LEARNING EXPERT

Handshake AI · Anywhere · $187k

Actively hiring Posted about 2 months ago

Role overview

Up to $90/hr

Depending on the project

Master's

Remote

Part-time

Flexible hours

Overview

Handshake is recruiting exceptional Machine Learning master's graduates 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 Handshake AI Fellowship program runs year-round, though project availability will vary by domain.

Details
• The program runs year-round. Once part of the MOVE program, you will be matched to collaborative projects with labs based on your background and area of expertise.
• Project work includes developing and answering Machine Learning prompts and evaluating responses from Large Language Models for accuracy.
• The position is remote and asynchronous - work independently from wherever you are.
• Flexible hours, ranging from 10 to 15 hours per week.
• Learn new skills while contributing to the changing world of AI across various disciplines.
• Placement into a project will be dependent on project availability.

What we're looking for

This program is open to U.S.-based doctoral 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.
• At this time, we are unable to accommodate candidates on STEM OPT who require an i-983. Fellows with already approved i-983s, as well as those on pre-grad OPT, CPT, J-1, or H-1B, are not impacted. This position may be subject to change in the future.

The application process

1

Apply and pass a practice task

2

Get matched with a project

3

Challenge & improve AI models

4

Build with fellows and specialists

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Remote Part Time Fulltime