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How to get accurate Job description with AI hiring software?

  • marketing66822
  • Nov 12
  • 3 min read
Accurate Job Descriptions with AI Hiring Software

Creating a job description that draws the right talent is not as easy as it seems. One ambiguous sentence, and you will either get tons of irrelevant resumes or skilled candidates might not even get to see your job posting. 


AI hiring software is the solution, not to replace recruiters, but to make their work efficient. Let’s see how you can get accurate, unbiased, and attractive job descriptions with AI hiring software. 


Though first you should know what’s going unacceptably wrong with manual job description writing( if you still believe in this..trust me get help!)


Problem with Manual Job Descriptions


Most recruiters are still using templates or the copy-paste method from their previous postings or relying on free GPTs. What's the result? Repetitive language, unclear expectations, and lack of personalization. 


One company's marketing manager position will look the same as the next one. This lack of clarity leads to inaccuracy of job descriptions, and consequently, the wrong hires.


Recruiters are spending a lot of time in changing the tone and the word choice of their ads and yet, many of them are still not accurate. The fact is that humans cannot always recognize hidden gender bias or outdated phrasing, whereas AI ​‍​‌‍​‍‌​‍​‌‍​‍‌can.


How​‍​‌‍​‍‌​‍​‌‍​‍‌ AI Makes Job Descriptions More Accurate


AI job description tools scan a vast amount of data related to job openings and the results of the hiring process. They figure out what words help to get the best talent and what phrases make people leave. 


  • Language scoring done in real time is already a feature of platforms such as Textio and Jasper’s job description writing software.


  • By using predictive analytics, these tools can match your description with the actual performance metrics when they work together with AI recruitment software. For instance, if the top-performing developers at your company happen to have certain characteristics. 


AI will recommend that you use words that correspond with those characteristics in your new advertisement. This not only makes the targeting more accurate but also reduces the hiring ​‍​‌‍​‍‌​‍​‌‍​‍‌noise.


Getting​‍​‌‍​‍‌​‍​‌‍​‍‌ Started with an AI-Driven Hiring Platform


If you are a startup or small HR team, the smartest move is to get an AI hiring platform for startups that already has an AI job description tool provided. Some of the common features provided by these AI hiring tools that you should know about include:


  • Job role analysis and keyword recommendations

  • Grammar and tone optimization

  • Bias detection and diversity-friendly phrasing

  • Integration with applicant tracking systems


Besides that, you are also allowed to create a preliminary copy of the job description through the use of a free AI job description generator and then, you can edit it according to the tone and culture of your company. It is quick, affordable, and more precise than coming up with a new ​‍​‌‍​‍‌​‍​‌‍​‍‌one.


How to Keep JDs Human Despite Using AI Tools?


AI can make the result almost perfect, but not entirely. It doesn’t have the capability to comprehend the company culture or the "vibe" of your team. So, to keep it genuine or more human(you’d say) a recruiter definitely has to look over and edit the final version. 


Essentially, the formula is automation doing the structural and data-related work, and humans, doing the storytelling, thus getting the best outcomes.


This is the ideal point for contemporary recruitment, efficient use of AI with a human touch leading ​‍​‌‍​‍‌​‍​‌‍​‍‌it.


Challenges​‍​‌‍​‍‌​‍​‌‍​‍‌ Recruiters Faced with AI Job Descriptions


It is a fact that even with the use of very advanced algorithms, no tool is able to do everything perfectly. The few issues that recruiters encounter are as follows:


  • Limited understanding of niche roles: For AI tools, understanding of highly specialized positions is often the biggest challenge and therefore they end up producing descriptions that are either too general or do not match the content.

  • Overly generic phrasing: Some systems, in order to make the language more inclusive, suggest safe but bland words that do not reflect the brand voice of your company.

  • Context gaps in tone: Artificial intelligence may not be able to entirely seize the culture of your company or the degree of casualness or formality of the post.

  • Dependence on automation: Relying too much on the software can make job posts feel robotic or disconnected from real human intent.

  • Lack of adaptability: There are certain tools which cannot change the tone or format of a text to suit different platforms such as LinkedIn or your careers page.


Conclusion


AI for writing job descriptions should not be seen as just following the trend. It is rather a way to save time, make the descriptions more accurate, and offer candidates an equal opportunity. The use of AI tools in hiring is already changing the way recruiters present job openings.


The secret is to maintain equilibrium: employ AI for handling the data while you work with the interpretation. This is the way to keep the job authentic while still being ​‍​‌‍​‍‌​‍​‌‍​‍‌accurate.

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