Terminology is significant, particularly in employment postings. Moreover, exclusionary terminology prevents diverse candidates from submitting applications. Identifying these terms independently can be challenging and consume considerable time. So, what’s the solution?
An effective method is to utilize a job description bias tool. These sophisticated tools operate through AI automation. Consequently, you can continuously monitor and rectify the most elusive inaccuracies in your job descriptions (like implicit biases) that could be hindering your access to valuable talent.
Below are 9 tools designed to save you time (and eliminate the element of human error):
1. Ongig Job Description Bias Tool
Ongig identifies biased terminology in your job descriptions related to gender, ethnicity, age, disability, mental health, and more. Additionally, the software simplifies replacing biased terms with more inclusive alternatives.
Here are some instances of terms this job description bias tool could identify in your job descriptions:
- Gender-coded terms: assertive, goals, values, authority,andintensive may discourage women from applying to your job listings.
- Racial Bias: a walk in the park, blackball, native English speaker, spirit animal, and brown bag might deter applicants from Black, Indigenous, and People of Color (BIPOC) backgrounds.
- Age Bias: recent graduates solely, seniors, and digital native could discourage older candidates from applying for your positions.
These represent just a handful of biased language that slips into your job descriptions (often without intention). You’ll discover countless others in Ongig’s Inclusive Language List for Job Ads. This is merely a sample of the 10,000+ terms flagged automatically when you employ the software.
Beyond scanning for biased terminology, Ongig also offers built-in job title recommendations, JD workflow options, an AI-powered “missing section” identifier, readability advice, a complex terminology identifier, custom JD templates, and more. The platform’s automated intelligent templating simplifies maintaining consistency, compliance, and readability across JDs at a large scale. This approach ensures a highly professional employer branding throughout every candidate interaction.
2. Applied Job Description Bias Tool
Applied is an applicant tracking system (ATS) that emphasizes diversity, equity, and inclusion (DEI) in recruitment. Its job description bias tool evaluates your JDs for gender-coded terms because women tend to avoid applying for positions with male-coded language.
Applied also:
- Measures the length of your job requirements.Extensive lists of qualifications discourage more women from applying since research indicates women typically only apply for jobs when confident they meet 100% of the prerequisites.
- Evaluates your JDs for readability.The tool employs the Flesch reading scale to assess ease of reading. The system examines reading burden, which influences how candidates engage with your postings.
- Conducts frequent DEI events.
- Offers a job board for curated DEI positions.
3. UInclude Job Description Bias Tool
UInclude’s job description bias tool detects gender-specific and racially exclusive phrases within your JDs. It also provides more inclusive word substitutions.
A distinguishing feature of this tool is it provides a performance prediction score or an “inclusion score.” This score indicates the inclusivity level of your job ad and its potential appeal to underrepresented applicants. It also forecasts that any JDs scoring over 85 will receive a higher volume of applications and incur lower application costs.
4. Gender Decoder Job Description Bias Tool
Gender decoder serves as a free job description bias tool concentrating on gender bias. It identifies nuanced gender-coded language in your JDs. Additionally, it specifies if the terminology is masculine or feminine coded. Note: It does not provide gender-neutral alternatives.
Upon copying and pasting your JD into the designated box and clicking “check this ad,” a list appears on the left categorizing terms into male and female coded words. A drawback is that the platform doesn’t highlight comments, necessitating manual edits.
Note: Gender Decoder also permits you to create a copy (as mentioned in their license) as long as the copyright and permission notice are included.
5. XOPA AI’s Built-In Job Description Bias Tool
XOPA AI functions as an automated powerhouse within the inclusive hiring landscape, featuring a comprehensive technology stack for enhanced recruitment. The platform incorporates some of the most advanced AI capabilities to evaluate top candidates based on their soft skills, experiences, and cultural compatibility. This includes a built-in AI description generator and optimizer integrated within its recruiter module. The system analyzes over 250 million profiles, mapping the actual competencies behind high retention rates to benchmark hiring criteria against premier standards.
The system utilizes two robust agentic AIs, Kate and
Alex, which assesses candidate credentials and background while also streamlining the information to enhance recruitment methodologies. In contrast to the other tools on this list, XOPA AI provides an outcome-oriented strategy (with less focus on the linguistic elements) for eliminating JD bias through a more intricate guided method (explainable AI).
The platform’s systematic AI-assisted strategy also empowers organizations in their inclusive hiring initiatives by evaluating the effectiveness of ATS throughout the talent pipeline. Users can successfully track the performance of various ATS integrations involving every job posting and reconnect with suitable candidates with ease.
6. Textio Job Description Bias Tool
Textiodevelops inclusive HR tools. Their job description bias tool is Textio Loop, which examines the wording of your job descriptions for gendered or otherwise problematic language. Textio Loop evaluates your job descriptions so you can assess their inclusivity before hitting publish. It identifies biased language and suggests neutral, inclusive alternatives. Interestingly, their tool also enables you to assess how well your job description will resonate with individuals from specific groups. We appreciate how it monitors your job descriptions over time, enabling you to see how your inclusivity is improving and highlighting areas for enhancement.
Textio users can also anticipate forthcoming advancements in their Lavalier project, an interview intelligence platform where TA teams can provide structured skills-based feedback in selecting the most suitable candidates for a role. Consequently, employers can adeptly convert interview data into structured information to bolster skills-based hiring campaigns.
7. PowerPost Job Description Bias Tool
PowerPost’s job description bias tool supplies inclusive, AI-generated job description templates. It also features an evaluator function, enabling you to scrutinize your current job descriptions for biased, gendered, and offensive language. We admire its culture-fit features and its comprehensive JD-scanning abilities. You could essentially upload a non-performing JD on the platform, and the sophisticated AI revitalizes the language based on trending skill tags and inclusive alternatives. In this manner, you can consistently make a positive impression on your target candidates.
Contrary to some other tools on our list, PowerPost is accessible in more than 35 languages, allowing you to create inclusive job descriptions for international candidates and distributed teams. PowerPost integrates with most existing HRISs, enabling you to add a job description tool to your toolkit without complicating your HR workflow.
8. Metaview
Metaview is an innovative JD checking platform that employs AI to enhance the effectiveness and inclusivity of your postings. The platform identifies sentences that contain non-compliant and exclusionary elements while recommending neutral alternatives. The intuitive interface also allows you to conduct checks for other linguistic factors such as competitive phrasing and active voice to maximize candidate engagement.
Moreover, Metaview gathers insights from your recorded interviews to enhance future JDs according to your hiring priorities. For example, Metaview can assist in pinpointing specific skills needed for a role, substituting generic terms like “familiarity with tech” with “proven experience in Typescript and Postgres.”
9. HRizon’s Job Description Made Simple
Job Description Made Simple (JDMS) allows TA professionals to manage JDs at scale via the cloud. The solution integrates with the widely-used HCM system, SAP SuccessFactors (users can log on with a single sign-on feature). JDMS utilizes advanced automation that streamlines hiring by eliminating bias and appealing to candidates from diverse backgrounds with user-friendly features that include:
Rapid JD translations – Perfect for international or distributed teams. Users can also forward the translation to local experts for further refinement so each term captivates at a localized level.
Organized JD library – The system allows for transparent version management. Consequently, TA teams can uphold data governance and consistent candidate details at every phase of the talent pipeline.
How Hiring Best Practices Are Evolving in 2026
One reason we endorse utilizing a job description bias tool is that the HR landscape is continually evolving. As public opinions shift, HR teams must also adapt their recruitment processes to mirror the needs and desires of diverse candidates and job seekers. A job description bias tool serves as a valuable resource that can assist you in identifying and addressing unconscious biases within yourself or your team, crafting job listings that genuinely represent your diverse values. Here are a few modifications to hiring best practices that we are observing in 2026:
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Pay transparency. Candidate advocacy has led to various states (such as Colorado and Connecticut) and local areas (like New York City) enacting laws that require all employers to provide transparent details concerning pay or salary to applicants. These laws differ significantly, but the overarching idea is that pay transparency helps to address gender and racial pay disparities, thus fostering a more diverse candidate pool. Pay transparency laws are favored by job seekers. According to research from SHRM, 82% of candidates are more inclined to apply for a job that includes a pay range in the job listing. Tools such as OnGig’s Text Analyzer are also assisting employers in eliminating other language that contains age-related bias from their job descriptions.
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Reevaluating ‘years of experience’. This conventional aspect of job postings is undergoing transformation. For years, companies have stipulated required or preferred years of experience that were exaggerated beyond what they realistically anticipated, deterring younger and less-qualified applicants from entering the recruitment process. Some employers also provide a range of acceptable years of experience, which may discriminate against older individuals. The Age Discrimination Act prohibits employers from discriminating against candidates and employees over the age of 40. For these
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Artificial intelligence and machine learning are becoming increasingly prevalent in recruitment. AI is rapidly advancing in the human resources field, with cost-effective AI-driven software accessible even to smaller enterprises. While we support AI and even utilize it in our Text Analyzer tool, we also recognize the significance of steering AI towards DEI, transparency, and social accountability. AI applications that reflect the unconscious biases of their developers can yield harmful and prejudiced outcomes. We anticipate that increased examination of these widely-used tools will occur this year, both from the industry and governmental authorities.
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The emergence of explainable AI. As noted, AI continues to advance, leading to new approaches for data interpretation and the ethical considerations surrounding sensitive candidate information. Therefore, it is essential to extend beyond using AI solely for creating successful JDs for inclusive hiring. Contemporary organizations should also clarify why and how AI influenced a hiring choice. Indeed, the workforce has grown more cognizant of a company’s perspective on AI and the technology’s dependability as these automated solutions are utilized daily.
- Enhance JDs for discoverability. Your JDs ultimately only hold value if they are searchable. In a digital landscape inundated with information, it has become crucial to ensure that your JDs are easily accessible to your top candidates. This entails incorporating trending job seeker phrases, eliminating unnecessary stages in the candidate journey, and making certain that every job title explicitly conveys what an applicant can anticipate (ambiguous and subtly biased terms like “guru” should be strictly avoided).
- Diversifying your talent sources.Broadening your candidate outreach creates opportunities for a wider talent pool. Consequently, positioning JDs on specialized job boards that cater to specific communities or roles could enhance engagement and retention, as individuals are likely to be more qualified for the position than those in generalized channels. Sourcing should also engage passive job seekers, granting you a competitive edge since these candidates possess relevant skills essential for succeeding in the current job market. Experts advocate for a hybrid approach to recruitment from both generalist and niche job boards, which reportedly shortens time-to-hire by 35%.
Due to various factors, numerous employers are transitioning to mentioning only a genuine minimum number of years of experience in their job advertisements.
Reasons for Writing This:
Equitable, effective, and inclusive job descriptions are vital for nurturing a diverse talent pipeline. Enhance your hiring procedures with Onnig. Our job description bias tool is the most comprehensive, adaptable, and effective available. Reach out to us today for a demonstration and discover why HR departments across multiple sectors rely on us to make their job postings more inclusive.
Acknowledgments
- Applied – Applicant Tracking Software for Small Businesses: 13 Steps to Maximize ROI
- SHRM – The Genuine Impacts of Pay Transparency in Business
- US Department of Labor – Age Discrimination
- Business Wire – Textio Announces CEO Transition
- PwC’s Global Workforce Hopes and Fears Survey 2025 – Reimagining the future of work
- Anywork Anywhere resources – Generalist or Niche? Redefining the Recruitment Ecosystem in 2026