Empowering Gen Z to build their careers
Handshake is a leading career platform designed specifically for Gen Z, connecting over 17 million active users with more than 650,000 employers, including major companies like Google and Nike. Headquartered in the Financial District of San Francisco, Handshake has raised $434 million in funding, ac...
Handshake offers flexible time off with no waiting period, a six-week paid sabbatical after six years of employment, and two days of volunteer time of...
Handshake fosters a student-first culture focused on eliminating inequality in hiring. The founders' commitment to fairness drives the platform's miss...
Handshake • Remote (USA)
Handshake is seeking Shipping, Receiving, and Inventory Clerks to contribute to an AI training project. You'll leverage your professional experience to evaluate AI models and provide structured feedback. This role is remote and flexible, requiring no prior AI experience.
You have at least 4 years of professional experience in shipping, receiving, or inventory management. Your background equips you to evaluate AI models effectively, providing valuable insights based on your real-world expertise. You are comfortable working independently and can manage your time flexibly, averaging 5-20 hours per week. You are eager to learn new skills and contribute to the development of AI tools that aim to enhance the capabilities of skilled trade workers.
In this role, you will participate in an AI research project that focuses on evaluating AI models related to your field. Your primary responsibility will be to develop prompts that reflect your professional experience and assess the AI's responses. You will provide clear and structured feedback that helps improve the AI's understanding of workplace tasks and language. The position is designed to be asynchronous, allowing you to work from anywhere in the United States. You will have the opportunity to contribute to a project that runs year-round, with new opportunities opening periodically.
Handshake offers a flexible work environment where you can contribute to meaningful AI research without needing prior experience in the field. You will gain insights into how AI can be utilized in your profession while helping to shape the future of skilled trades. The role is designed to fit around your schedule, making it an excellent opportunity for those looking to engage in part-time work while contributing to innovative projects.
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