Hiring Assistant in LinkedIn Recruiter is the only AI hiring assistant powered by the world’s largest professional community. It enables a shift in how talent professionals spend their time and their capacity so they are able to invest in the strategic, people-centric work that makes the most impact. Hiring Assistant is an add-on to the LinkedIn Recruiter platform and helps you hire qualified talent faster by tackling time-consuming tasks on your behalf.

To open the Hiring Assistant dashboard, click the Sparkle icon in the upper-right corner of your Recruiter homepage. From there, you can:

• Create new projects with Hiring Assistant
• View all projects that have Hiring Assistant enabled
• Add Hiring Assistant to existing projects
• See actions that require your attention
  

You can also access Hiring Assistant from within any project where it’s enabled, or navigate to the Projects page and click Show Hiring Assistant projects only on the left pane to filter the list of projects by ones that have Hiring Assistant enabled. 

To use Hiring Assistant, you’ll need a Hiring Assistant license and your Recruiter language setting must be set to English. If you don’t have access, contact your LinkedIn Recruiter admin to request a license. Visit Assign a Hiring Assistant license in Recruiter to learn more.

Hiring Assistant can help you create a project to efficiently and effectively find qualified candidates for your role.

To create a project, you can click the Hiring Assistant icon next to your profile picture in Recruiter, then click Start hiring for a new role. Alternatively, you can move your cursor over Projects at the top of your homepage and select Create new Project from the dropdown, or click the  Add icon next to the global search bar and select New project.

You can include a job description, an ideal candidate’s name, a LinkedIn job post URL, or upload a file, and Hiring Assistant will create your project or job based on the information you provide. Hiring Assistant will recommend required and nice-to-have qualifications for your project, source candidates for you, and streamline applicant review.

Hiring Assistant can also help with prescreening candidates, and you can prescreen up to 25 candidates at once.

Each candidate profile includes a summary of why the Hiring Assistant thinks they’re a good fit and how many qualifications they meet, based on a combination of the following sources:

• The candidate’s LinkedIn profile (the following sections, if complete: work experience, skills, education, location, certifications, summary, volunteer experience, publications, and patents)
• Resume (if available)
• Responses to screening questions (if available)
• Recruiting notes (if available)

You can increase your outreach by sending AI-generated messages to up to 25 candidates at once using Hiring Assistant. Learn more about AI-Assisted Messages in Recruiter.

Hiring Assistant uses your project information, sourcing goal, and hire intent to generate strategies to source candidates for you to review. Hiring Assistant transforms your hire intent to traditional search queries to quickly source qualified candidates for your project.

You can send initial and follow-up messages to up to 25 candidates at a time with Hiring Assistant. Note: Follow-up messages aren’t AI generated and the same follow-up message will be sent to all recipients.

Yes, you can enable or disable Hiring Assistant on any project you own. To enable or disable Hiring Assistant, follow the steps in Enable or disable Hiring Assistant in a project.

When you start a new project, it is automatically created. If you exit the project creation page without finalizing your project details, your project will still be created and will be available on the Projects page. Before Hiring Assistant can start sourcing, it will ask you to provide more project details in your project’s Activity log.

You can update your hiring plan for a project in the Hiring Assistant activity section on your project’s Overview page by clicking Edit settings. You can update how many InMail accepts you’d like to receive and the number of daily sourced candidates you want Hiring Assistant to provide for you to review. You can also specify the level of AI assistance you want for your project.

You can update your qualifications in the Hiring Assistant activity section of the Overview page by clicking Edit requirements.

Hiring Assistant will learn from your actions to source new candidates that match your hiring needs. Hiring Assistant learns from your actions when you:

• Reject an applicant and provide written feedback
• Archive a candidate and provide written feedback
• Highlight text on a candidate’s profile, select the  Thumbs up icon or  Thumbs down icon, and provide written feedback

When Hiring Assistant updates your qualifications, you will receive a notification on your dashboard so that you can view and edit the updated qualification.

As an admin, you can assign the Hiring Assistant Permission to a new or existing recruiter on your contract in LinkedIn Admin Center. Visit Assign a Hiring Assistant license in Recruiter to learn more.

Yes, there is a limit for the number of candidates a user with a Hiring Assistant license can source or evaluate per month. Visit Hiring Assistant licenses in Recruiter and Recruiter Professional Services Plus (RPS+) to learn more.

You can enable or disable applicant evaluation at the contract level for all users. Visit Enable or disable applicant evaluation for Hiring Assistant for more information.

To learn more about Hiring Assistant best practices and how to write effective qualifications, see Hiring Assistant Qualifications Best Practices.

The Hiring Assistant Report provides insights into Hiring Assistant usage and performance for you and your team for sourcing, applicant evaluation, messaging, and prescreening. You can use the data in the report to understand how Hiring Assistant is performing and contributing to your hiring outcomes on your contract. You can also view data for Hiring Assistant in the InMail and Usage reports. Visit Hiring Assistant Report terms and definitions to learn more.

LinkedIn offers a range of webinars to help you navigate all aspects of using Hiring Assistant. Join our live sessions to learn how to maximize Hiring Assistant's features and achieve your hiring goals. Currently, webinars are only available in English. Browse the available webinars below, and register for a session hosted by one of our customer success team members.

For additional resources, explore the LinkedIn Learning Center or visit the Hiring Assistant Hub in the LinkedIn Talent Community to learn more about Hiring Assistant.

Achieving success with Hiring Assistant depends on both Admins and recruiters understanding their roles and following best practices tailored to their responsibilities. Visit the following resources to learn more:

• Hiring Assistant Admin Checklist
• Hiring Assistant Quick Start Guide for Recruiters
• Hiring Assistant best practices

You can chat with Hiring Assistant from within your Hiring Assistant dashboard on your Recruiter homepage to help you create a project.

To do this, open your Hiring Assistant dashboard and click Start hiring for a new role. In the chat box, describe the role you’re hiring for. You can include preferred qualifications, workplace location, a job description, an active LinkedIn job post, or any other relevant details, and Hiring Assistant will help you create your project. Visit Create a project with Hiring Assistant to learn more.

You can chat with Hiring Assistant in the Activity log in your project. Click the Hiring Assistant icon on the left pane of your project to open the Activity log and ask Hiring Assistant to update your project qualifications, source more candidates, or initiate candidate and applicant reevaluations.

Yes, you can ask Hiring Assistant to edit qualifications for a project you created. To do this, open the Activity log within your project and ask Hiring Assistant to make an update to your qualifications. Alternatively, you can navigate to the project and update the qualifications on your project’s Overview page.

You can ask questions about the candidate such as their experience, education, location, and how they fit the role.

Once you finalize your project in the chat, Hiring Assistant will notify you on your Recruiter homepage when candidates are ready for your review.

You can access the chat history for a specific project by clicking the Hiring Assistant icon in the lower-left corner of your project.

When you draft a message to a candidate, you can choose to enable automated prescreening. Hiring Assistant will initiate the prescreening process once the candidate(s) accept your InMail message and Hiring Assistant identifies an appropriate moment, such as when the candidate expresses interest or finishes asking questions, to request their permission to proceed. Visit Prescreen candidates with Hiring Assistant for more information.

No, automated prescreening is not ranking or evaluating candidates based on their responses. The goal of this feature is to help you get to qualified candidates faster by automating the prescreening process and helping collect answers to identify qualified and interested talent.

This feature is designed to be used in the sourcing process after a candidate has accepted your InMail and before you schedule a recruiter phone screen or the candidate submits a job application. This isn’t intended to replace phone screens or job application links, but rather to help reduce the time spent on administrative tasks related to prescreening activities.

At this time, this feature is enabled automatically for recruiters who are assigned the Hiring Assistant Permission and can’t be turned off at the seat or contract level. However, setting it up and using it when messaging a candidate is optional.

Yes, the questions are derived from the linked job post (if applicable) and hiring project. You can review and edit the prescreening questions before you send your message.

At this time, this feature will not dynamically adjust questions based on the candidate’s profile.

Yes, transparency is key. The candidate will see a note that they are communicating with Hiring Assistant.

After Hiring Assistant has gone through the list of topics, it will ask the candidate to share any questions they have about the job for you to answer. Hiring Assistant sources answers to candidate questions from several locations, such as:

• The LinkedIn job post
• Your LinkedIn Company Page
• Custom text or uploaded attachments you provide in your project settings

When conflicting information is found across these resources, Hiring Assistant prioritizes information in the following order:

• Custom text from project settings
• Document uploads (.pdf and .docx) in project settings
• Role details
• The LinkedIn job post

If Hiring Assistant can’t answer a question, it will connect back to you.

You can preview the prescreening experience when you enable prescreening while drafting a message in a project or from your Inbox. Visit Prescreen candidates with Hiring Assistant to learn more.

You can view these conversations in your Recruiter Inbox.

If your project wasn’t originally a Hiring Assistant project, you won’t be able to set up automated prescreening for any candidates sourced by you instead of Hiring Assistant.

AI is not new to LinkedIn. LinkedIn has long used AI to enhance our members’ professional experiences. By leveraging the power of AI, we help our members connect, increase productivity, and achieve success in their careers.

Inspired by, and aligned with, Microsoft’s leadership in Responsible AI, these are the Responsible AI Principles that we use at LinkedIn to guide our work.

LinkedIn Hiring Assistant has been subject to our review process to ensure it can be used in compliance with applicable laws, our privacy policy, and our contracts with customers. Our security commitments with respect to customer data are set forth in our agreement with customers. As with all of our services, AI products are subject to security reviews designed to prevent harm.

The generative AI (GAI) models currently used to power Hiring Assistant in Recruiter are:

• Intake and search — Developed by OpenAI. LinkedIn uses these models through Microsoft’s Azure AI services. If you wish to learn more about how these models were trained, please see OpenAI and Azure AI services.
• Messaging — A (text) generative AI model. We use a combination of in-house language models for English and GPT for non-English languages. The in-house models are trained using machine learning to adapt to Recruiter messaging use cases and generate draft messages that recruiters can edit and send. The models are able to generate content unique to a recruiter-candidate pair based on available parameters provided to it. For example, member profile information (position, company, open to work preferences, etc.), recruiter profile information (name, job title, etc.), recruiter company information (company summary), and job post information (job title, location, job type, etc.).
• Summarization of candidates — An in-house LLM which takes in hiring intent (the list of required and nice-to-have qualifications), candidate LinkedIn profile, candidate resume, screening questions, and recruiting notes as input and generates a response about the qualifications the candidate matches, partially matches, or does not match. The output includes the source, summary of the qualification match, and an overall candidate summary.
  

LinkedIn complies with applicable law in the jurisdictions where our products are offered and we always seek to enable our customers to comply with their legal obligations when using our products. We are committed to keeping our platform trusted and professional, and we respect the laws that apply to us in the countries in which we operate.

LinkedIn’s hiring product offerings focus on widening the hiring funnel through candidate sourcing and discovery. Specifically, Hiring Assistant in Recruiter helps recruiters build a pipeline of individuals in an effort to encourage those individuals to apply for roles and more efficiently manage candidates to make sure they are engaging with the right people at the right time. Recruiters decide who to reach out to and who to advance in the pipeline once a person has applied. While Hiring Assistant delivers insights about an applicant's qualifications against a recruiter’s hiring criteria, it will not screen out applicants or make hiring decisions. Recruiters will still need to take action and make final decisions on applicants whether they advance or not.

As a user of LinkedIn enterprise products and services, the information that you choose to provide as inputs, as well as the responses to your inputs and your use of this feature, will be associated with your enterprise seat and will be considered “customer personal data” under our Data Processing Agreement. While your prior “sessions” with these features may not be viewable by you after the close of a session, we will retain this information beyond the session. Like other personal data on LinkedIn, the purchaser of your enterprise seat can request to see what we have retained and request to take action on your personal data. Enterprise users must submit their deletion and export requests to their master administrator.

Input data may be used to improve the AI in two ways: 

• We look at searches, particularly ones with feedback, to help us understand where we can improve our translation of input into a search and to identify areas to prioritize for product improvements. This is similar to what we've always done with search data.
• As with other search data, we constantly run experiments to improve search ranking and retrieval and to understand how changes to our models improve outcomes for search. For instance, we might make changes to the way we create queries from user input and we will run an experiment to see if this is leading to more successful conversations between recruiters and candidates.

We may also use this data in the future to train in-house models, for example to classify whether a request is a search creation request or a project creation request. LinkedIn data will not be stored or used to train third-party AI models, including OpenAI.

Hiring Assistant in Recruiter does not require the processing of sensitive personal data provided by customers. Any data customers provide is subject to the LinkedIn Data Processing Agreement, including with respect to confidentiality, security, and privacy. Information that members share on Linkedin.com like their names, job title, and additional information on their profile are used to match their information with recruiters’ search results. However, this data is not considered sensitive customer data and is provided by members on LinkedIn. If a recruiter asks the AI feature for sensitive personal information, they will get an error that it’s not supported.

As a recruiter, you have oversight of Hiring Assistant throughout every step of the sourcing process:

• You can review each candidate Hiring Assistant recommends and decide whether they’re a good fit or not.
• You can provide qualitative feedback with each candidate to help Hiring Assistant understand why the candidate was or wasn’t a fit to help Hiring Assistant improve.
• You can adjust your hiring goals with Hiring Assistant if needed (i.e. source 10 more candidates daily).
• You review and approve InMails to candidates. There will be no outgoing communication from Hiring Assistant directly to candidates without your review.
  

No. Hiring Assistant ensures human involvement remains central to the hiring process, mitigating excessive reliance on automation. Hiring Assistant uses skill-based automation to handle repetitive tasks but keeps humans involved, especially for decision-making and high-touch interactions.

Feedback provided to Hiring Assistant by end users: Hiring Assistant refines candidate recommendations based on direct user feedback (i.e. thumbs up and thumbs down), which is applied only to the specific role and user. For example, feedback like “experience selling B2B products” is used solely within that hiring context and does not train a general-purpose AI model.

Impact on candidates: Feedback helps Hiring Assistant better match candidates to role requirements by adjusting how strongly the candidate matches the defined qualifications. 

The feedback does not negatively impact the candidate’s normal LinkedIn seeker experience.

Data collected for the AI tools in LinkedIn Recruiter come from LinkedIn’s economic graph—information that members and companies share and update on LinkedIn.

The generative AI (GAI) models currently used to power Hiring Assistant in Recruiter were developed by OpenAI and LinkedIn uses these models through Microsoft’s Azure AI services. If you wish to learn more about how these models were trained, please see OpenAI and Azure AI services.

LinkedIn has ongoing monitoring of stability, latency, and output quality signals. We perform regular evaluation to ensure consistency of AI model quality. We have processes to monitor fulfillment failure rates and user quality feedback signals.

LinkedIn strives to ensure that its products and services are fair, including by measuring and mitigating algorithmic bias. Our objective is to ensure equally qualified members receive equal treatment by our models. As with all our products, our teams continuously assess our systems, and if harmful biases are identified, we will work to address them. LinkedIn conducts fairness and bias reviews on a per-model level, including models used in LinkedIn Talent Solutions products. When potential biases are identified, the team investigates and, as appropriate, works to mitigate the unintended biases (or de-ramps the model).

Hiring Assistant flags qualifications or prompts as unsupported when they conflict with platform policies and enforces that users update their input before proceeding. For example, we do not allow qualifications or prompts that include characteristics, such as gender, race, class, disability, marital status, maternity status, sex, religion, sexual orientation, socio-economic factors, and age. You won’t be able to add these qualifications or prompts to your project.