Records Manager - Handshake AI

Role Overview

Handshake is seeking skilled Records Managers, encompassing professionals like Archivists, Information Managers, Collections Managers, and Librarians, for a temporary, hourly AI research initiative. No prior AI experience is required. This project involves leveraging your expertise to evaluate AI model outputs, assess content related to your field, and provide structured feedback to enhance the model's understanding of workplace tasks and language. This is a remote opportunity to contribute to the cutting edge of AI in your field. The Handshake AI program operates year-round, with projects opening periodically across various domains.

A Day in the Life

As a Records Manager on the Handshake AI project, your day will involve:

• Evaluating AI Model Outputs: Assessing the accuracy, relevance, and completeness of AI-generated content related to records management, archival practices, and information retrieval.
• Developing AI Prompts: Creating specific and detailed prompts to guide AI models in generating content that mirrors real-world scenarios and tasks within your field.
• Providing Structured Feedback: Offering constructive and actionable feedback on AI model outputs to improve their performance and alignment with industry standards and best practices.
• Collaborating Asynchronously: Working independently on assigned tasks, while maintaining clear and consistent communication with the Handshake AI team through online platforms.
• Staying Updated: Keeping abreast of current trends and advancements in both records management and AI technology to ensure the quality and relevance of your contributions.

Why Remote?

Handshake embraces a remote-first work environment to offer flexibility and accessibility to talented professionals across the USA. Working remotely allows you to:

• Maintain Work-Life Balance: Manage your work schedule around personal commitments and priorities.
• Eliminate Commuting: Save time and money by eliminating daily commutes.
• Work from Anywhere: Choose your preferred work environment, whether it's a home office, co-working space, or any location with reliable internet access.
• Access a Diverse Talent Pool: Connect with a wider range of professionals with diverse backgrounds and experiences.

Career Path

While this is a temporary, hourly project, participation in the Handshake AI program can offer valuable experience and networking opportunities to enhance your career in records management, archives, or related fields. Potential career paths include:

• Advancement in Current Role: Applying insights gained from the AI project to improve processes and efficiency in your current role.
• Consulting Opportunities: Leveraging your expertise in records management and AI to provide consulting services to organizations seeking to optimize their information management practices.
• AI-Related Roles: Transitioning into roles focused on AI development, evaluation, or implementation within the records management or information governance sectors.
• Leadership Positions: Progressing into leadership roles within archives, libraries, or information management organizations, leveraging your understanding of emerging technologies to drive innovation and strategic decision-making.

Salary & Benefits

This is an hourly, temporary position. Compensation is competitive and commensurate with experience. Specific hourly rates will be discussed during the application process.

Mission

The Handshake AI program is committed to developing AI models that are accurate, reliable, and aligned with industry standards and best practices. Our mission is to empower professionals in various fields with AI-driven tools and insights that enhance their productivity and decision-making capabilities.

How to Apply

To apply for the Records Manager position on the Handshake AI project, please follow these steps:

1. Create a Handshake account.
2. Upload your resume and verify your identity.
3. Get matched and onboarded into relevant projects.
4. Start working and earning.

FAQ

1. What is the time commitment for this role? The hours are flexible, with no minimum commitment, but most participants average 5-20 hours per week.
2. Do I need prior AI experience to apply? No, prior AI experience is not required. We are looking for professionals with expertise in records management, archives, or related fields.
3. Is this a remote position? Yes, the position is fully remote and asynchronous, allowing you to work independently from anywhere in the USA.
4. What types of tasks will I be performing? You will be evaluating AI model outputs, developing AI prompts, and providing structured feedback to improve the models' understanding of records management tasks and language.
5. How will I be compensated for my work? You will be compensated on an hourly basis, with rates commensurate with your experience.
6. What is the application process? The application process involves creating a Handshake account, uploading your resume, verifying your identity, and getting matched to relevant projects.
7. What kind of work authorization is required? F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.
8. Will I receive training for this role? Yes, you will receive onboarding and training materials to help you understand the AI models and evaluation process.
9. What if I don't get matched to a project right away? Project availability varies. If you don't get matched to a project immediately, more opportunities will be available soon.
10. How does this role contribute to the AI field? Your feedback and expertise will directly contribute to improving the accuracy and reliability of AI models in the field of records management, ultimately enhancing their value and applicability to real-world tasks.