How to Write Inclusive Job Descriptions (With Examples) (2026)

Updated At: Mar 09, 2026

Inclusive job descriptions use clear, bias-free language that welcomes candidates of all backgrounds - and they work. Removing gender-coded language alone boosts application rates by 29% and cuts cost-per-application by 41%, according to an Appcast study of 473,742 job postings (2021). That's not a marginal improvement. It's the difference between filling a role in three weeks and watching it sit open for two months.

This guide walks you through the specific language patterns that push candidates away, how to fix them, and the legal requirements that make inclusive writing non-optional in 2026. You'll get before-and-after examples you can copy, a checklist for auditing your existing postings, and data on what actually moves the needle.

TL;DR: Inclusive job descriptions drop gendered and exclusionary language to widen the applicant pool. Appcast data (n=473,742 jobs) shows gender-neutral postings get 29% more applications. Focus on responsibilities over requirements, keep JDs short, and separate "required" from "nice-to-have" skills.

Why Do Inclusive Job Descriptions Get More Applicants?

Job seekers self-select out of roles based on how the posting makes them feel - not just whether they're qualified. LinkedIn's internal data shows women are 16% less likely to apply after viewing a job than men, largely because they feel underqualified. Meanwhile, men apply 13% more often than women after viewing the same listing.

The language itself predicts outcomes. Textio's analysis of 78,768 engineering job listings found that postings where a man was eventually hired contained almost twice as many masculine-tone phrases as those where a woman was hired. The inverse held true for feminine-tone language. The words in your posting are filtering candidates before a recruiter ever sees a resume.

There's a business case beyond fairness. Gender-neutral job descriptions get filled two weeks faster on average, according to Textio's CEO Kieran Snyder. And 76% of job seekers say a diverse workforce is an important factor when evaluating companies, per a Glassdoor survey of 2,745 US adults. That figure has likely only grown - the World Economic Forum reported in 2025 that 83% of global employers now have active DEI initiatives, up from 67% in 2023.

Still, language isn't a silver bullet. MIT Sloan research analyzing 487,000 job seekers found that a one-standard-deviation increase in feminine language only moved the needle by 0.3% in women's inquiry rates. The takeaway? Language changes matter, but they work best alongside structural fixes like salary transparency, flexible work policies, and bias-free screening. Don't stop at word swaps.

How to Spot Gender-Coded Language in Job Descriptions

Gender-coded language is the most studied form of job description bias - and the easiest to fix once you know what to look for. Masculine-coded words like "ambitious," "competitive," "dominant," and "fearless" consistently deter women from applying, while feminine-coded words like "dependable," "interpersonal," and "collaborative" don't significantly deter men.

Here's what the research shows about specific word patterns:

Masculine-coded words that reduce female applications: aggressive, ambitious, competitive, confident, decisive, determined, dominant, driven, fearless, independent, leader, ninja, objective, outspoken, rockstar, strong, superior.

Feminine-coded words (safe to use - they don't deter either gender significantly): collaborative, committed, community, cooperative, dependable, honest, interpersonal, loyal, supportive, understanding.

Neutral alternatives that work for everyone:

Source: Massachusetts Human Resources Division (2025)

An Ongig analysis of 60,000 job descriptions (2022) found that removing exclusionary language increased total applications by 13% and applications from women by over 20%. The fix doesn't require a rewrite of every posting. Run your text through a free tool like Gender Decoder, flag the coded words, and swap them for neutral alternatives.

For teams that want to reduce hiring bias with AI, tools like Pin can help by automating candidate sourcing without names, gender, or protected characteristics ever reaching the matching algorithm - removing bias from the funnel entirely.

What Does a Disability-Inclusive Job Description Look Like?

About 13% of the US population has a disability, according to the CDC. Disability-inclusive language focuses on what the job actually requires rather than how a task is physically performed. The Americans with Disabilities Act (ADA) requires that job descriptions identify essential functions - but many postings go further and specify the physical method, which unnecessarily excludes candidates with disabilities who could perform the same function differently.

Here are the swaps that matter most:

Source: Kansas State University HR - ADA-Compliant Language Guide

The key principle: describe the outcome, not the method. If the essential function is "communicate with clients," don't specify that it must happen over the phone. If the function is "travel between locations," don't require a driver's license unless there's genuinely no alternative.

Also add an explicit accommodation statement. Something like: "We provide reasonable accommodations for individuals with disabilities. If you need an accommodation during the application process, contact us at [email]." This isn't just considerate - it's legally required under the ADA for employers with 15 or more employees.

Unconscious Bias in Recruitment and Selection

Why Neurodiversity-Inclusive Language Matters More Than Ever

Neurodiversity-inclusive job postings nearly tripled in the US between January 2018 and December 2024, rising from 0.5% of all postings to 1.3%, according to Indeed Hiring Lab (March 2025). In the UK, the figure reached nearly 4%. Most competitors' guides on inclusive job descriptions barely mention neurodiversity - but it's one of the fastest-growing inclusion dimensions in hiring.

Common phrases that inadvertently exclude neurodivergent candidates:

• "Fast-paced environment" - Signals that accommodations for processing speed won't be available. Try: "Dynamic work environment with clear priorities and structured workflows."
• "Excellent multitasker" - Multitasking is difficult for many people with ADHD or autism. If the role requires managing multiple projects, say so directly: "Manages 3-4 concurrent projects with defined deadlines."
• "Strong interpersonal skills" - Vague and can exclude autistic candidates. Specify what you mean: "Communicates project status to stakeholders via email and weekly standups."
• "Cultural fit" - Often code for "acts like everyone else." Replace with: "Shares our commitment to [specific value, e.g., customer-first thinking]."
• "Must thrive under pressure" - Try: "Meets deadlines in a structured, supportive team environment."

The pattern here is the same as disability-inclusive writing: describe concrete tasks and outcomes, not personality traits or working styles. A candidate who delivers on every metric shouldn't be filtered out because a posting asked for a "bubbly self-starter who thrives in chaos." For a deeper look at building neurodiversity into your overall hiring approach, see our guide on diversity recruiting strategies.

How to Fix Requirements Inflation (And Why It Kills Diversity)

Requirements inflation - listing far more qualifications than a role actually needs - is one of the biggest hidden barriers to diverse hiring. Job postings requiring specific years of experience dropped from 40% in October 2022 to 32.6% in October 2024, reflecting a broader shift toward skills-based hiring. But plenty of postings still demand a bachelor's degree for roles that don't need one, or ask for 5+ years of experience with a technology that's only existed for three.

Here's how requirements inflation creates a diversity problem:

• It disproportionately discourages women and underrepresented candidates from applying. LinkedIn's research confirms women are more likely to self-select out when they don't meet every listed requirement.
• Degree requirements screen out skilled candidates from non-traditional backgrounds. Seventy-three percent of employers adopted skills-based hiring in 2024, up from 56% in 2022 - because they discovered degree requirements were filtering out capable people.
• "Native English speaker" excludes bilingual and multilingual candidates. Replace with "Proficient in English" or "Strong written and verbal communication skills."

The fix is structural: separate requirements into "Required" and "Nice to Have." Keep the required list to 3-5 items - the actual dealbreakers. Everything else goes in the optional section. LinkedIn data backs this up: listing skills in the requirements section boosts apply rates by 11%, while emphasizing responsibilities over requirements gets 14% more applications per view.

The business case is strong: 73% of employers now use skills-based hiring, up from 56% in 2022, according to the World Economic Forum's Future of Jobs Report (2025). When you hire for what someone can do rather than what's on their resume, you get better fits - and they stick around longer.

How Do You Write an Age-Inclusive Job Description?

Workers aged 55 and older make up roughly 23% of the US labor force, per the Bureau of Labor Statistics (2024). The Age Discrimination in Employment Act (ADEA) prohibits language that deters applicants over 40 - but age bias in job descriptions often flies under the radar because it hides behind tech jargon and startup culture language.

Watch for these red flags:

• "Digital native" - Implies you want someone who grew up with technology, which signals a preference for younger candidates. Replace with: "Comfortable with digital tools and platforms."
• "Recent graduate" - Unless you're posting for an internship or entry-level rotation explicitly open to all ages, this phrase carries ADEA risk. Try: "Entry-level candidates welcome" or "No prior industry experience required."
• "Young and energetic team" - Describes the existing team's age, not the role. Replace with: "Collaborative and driven team."
• "High energy" - Vague and age-coded. Specify what you mean: "Manages a full calendar of client meetings and follow-ups."
• "0-3 years of experience" - Cap requirements on the low end only when truly necessary. Otherwise, say "Open to candidates at all experience levels."

Age-inclusive postings aren't just about legal compliance. Workers over 40 bring institutional knowledge, mentoring capacity, and stability. Excluding them shrinks your talent pool for no good reason.

How Does Pay Transparency Make Job Descriptions More Inclusive?

As of early 2026, 16 US states require salary ranges in job postings, according to Jackson Lewis. The newest laws include Illinois (January 2025), New Jersey (June 2025), and Massachusetts (October 2025). In New York City, repeated violations can reach $3,000 per infraction - and up to $250,000 in extreme cases.

But pay transparency isn't just a compliance box. It's an inclusion signal. Salary is the most important element in a job posting for 61% of applicants, per LinkedIn research. When candidates don't see a salary range, they have to guess - and candidates from underrepresented backgrounds are more likely to undervalue themselves or skip the posting entirely.

Include salary ranges even if your state doesn't require it. Here's what to cover:

• Base salary range - Use a reasonable spread (not "$50K-$150K," which signals you haven't scoped the role).
• Bonus or commission structure - Even a general description ("eligible for annual performance bonus") helps.
• Benefits overview - Health insurance, 401k match, remote work policy, PTO. These affect total compensation and help underrepresented candidates assess whether they can afford to take the role.

Transparency builds trust before a candidate even applies. That trust compounds through the hiring process and into retention.

What Makes a Diversity Statement Effective?

Not all diversity statements are created equal. A LinkedIn study of 764 US members (2021) found that an empathetic diversity statement left 71% of readers with a positive impression of the employer - compared to just 44% for a generic statement. The difference? Specificity.

Generic (44% positive impression): "We are an equal opportunity employer and welcome applications from all qualified individuals."

Empathetic (71% positive impression): "We believe diverse teams build better products. We actively seek candidates from all backgrounds, including those who have been historically underrepresented in tech. If you're unsure whether you meet every requirement, we encourage you to apply - we value potential and growth as much as experience."

What makes the second version work? It acknowledges a real barrier ("historically underrepresented"), addresses a specific concern ("unsure whether you meet every requirement"), and makes an explicit invitation ("we encourage you to apply"). Generic EEO boilerplate doesn't accomplish any of those things.

Place your diversity statement near the top of the posting, not buried at the bottom. Candidates who need that signal the most are the ones most likely to stop reading before they reach a footer.

Unconscious Bias: Stereotypical Hiring Practices

What Should Your Inclusive Job Description Checklist Cover?

Use this checklist before publishing any job posting. It covers the six dimensions of inclusive writing discussed in this guide.

Language and tone:

• Run through Gender Decoder or a similar tool
• Replace all gendered pronouns with "you" or "they"
• Remove jargon titles (ninja, rockstar, guru, hero)
• Use second person ("You will...") throughout

Requirements:

• Separate "Required" (3-5 items) from "Nice to Have"
• Remove degree requirements unless truly essential
• Replace years-of-experience requirements with skills
• Cut "native speaker" language - use "proficient in"

Accessibility:

• Describe outcomes, not physical methods
• Include an accommodation statement
• Avoid "fast-paced," "multitasker," and vague interpersonal requirements
• Use concrete task descriptions instead of personality traits

Age and experience:

• Remove "digital native," "recent grad," "young team"
• State "open to all experience levels" when applicable

Compensation and transparency:

• Include salary range (required in 16 US states)
• List key benefits and work arrangement

Diversity statement:

• Use an empathetic statement, not generic EEO boilerplate
• Place it prominently - not buried at the bottom
• Reference specific commitments or programs

AI-powered sourcing tools can extend this effort beyond the job description. Pin scans 850M+ profiles to find candidates who match your role requirements without factoring in names, gender, or protected characteristics - start sourcing bias-free with Pin.

As Colleen Riccinto, Founder of Cyber Talent Search, put it: "What I love about Pin is that it takes the critical thinking your brain already does and puts it on steroids. I can target specific company types and industries in my search and let the software handle the kind of strategic thinking I'd normally have to do on my own."

How Do You Measure Whether Inclusive Rewrites Are Working?

Rewriting job descriptions without measuring the results is guesswork. Here's a simple framework for tracking what changes after you apply inclusive language:

• Application volume - Track total applications per posting before and after your rewrite. The Appcast data suggests you should see roughly a 20-30% increase.
• Demographic breakdown - If your ATS tracks self-reported demographic data, compare the diversity of applicant pools before and after language changes.
• Application completion rate - Are candidates starting applications but not finishing? Long or intimidating JDs cause drop-offs. Short JDs (under 300 words) get 8.4% more applications per view, per LinkedIn's analysis of 4.5 million postings.
• Time-to-fill - Gender-neutral postings fill roles two weeks faster on average (Textio). Track this metric to validate the business case to stakeholders.
• Quality-of-hire indicators - After 90 days, compare performance ratings and retention between hires from inclusive postings versus older versions. Skills-based hiring consistently correlates with stronger retention outcomes.

Run A/B tests when possible. Post the same role with two versions of the description - one with your standard language and one with inclusive rewrites. Let the data tell you what's working. For more on building an effective hiring funnel, see our guide on how to improve candidate experience.

Which Tools Help You Write Inclusive Job Descriptions?

Manual review catches obvious issues, but automated tools find patterns humans miss. Here are the options worth knowing about:

• Gender Decoder (free) - A simple web tool based on academic research from the University of Waterloo. Paste your JD and it flags masculine and feminine-coded words. Best for quick checks.
• Textio (enterprise pricing) - Scores job descriptions for gendered tone in real time and predicts the likely gender of your hire based on the language used. Integrates with most ATS platforms.
• Ongig Text Analyzer (starts at ~$17,900/year) - Flags over 10,000 exclusionary phrases across gender, race, age, disability, and mental health categories. Enterprise-oriented.
• Appcast Gender Bias Decoder (free) - Built on the same academic research as Gender Decoder, with a cleaner interface. Gender-only analysis.

For the sourcing side of the equation, Pin's AI sourcing goes further than language tools. It searches 850M+ profiles with strict guardrails that prevent bias from entering the candidate matching process. No names, no gender, no protected characteristics are ever factored into recommendations. That addresses the structural side of bias that MIT Sloan's research identified as more impactful than language changes alone.

If you're building job postings from scratch, our job description templates give you 10 starting formats designed to attract a broad talent pool.

Frequently Asked Questions

What are the most common biased words in job descriptions?

The most frequently flagged words include "aggressive," "rockstar," "ninja," "competitive," and "dominant" - all masculine-coded terms that deter female applicants. An Appcast study of 473,742 job postings found removing these words increased applications by 29%. Use neutral alternatives like "skilled," "effective," and "results-driven" instead.

Do inclusive job descriptions actually increase diversity in hiring?

Yes. Ongig's analysis of 60,000 job descriptions found that removing exclusionary language increased applications from women by over 20%. Gender-neutral postings also fill roles two weeks faster on average, according to Textio. The impact compounds when combined with structural changes like skills-based requirements and pay transparency.

Is salary transparency required in job postings?

It depends on your state. As of 2026, 16 US states require salary ranges in job postings, including California, Colorado, New York, Illinois, and Massachusetts. NYC penalties for violations reach up to $250,000 in extreme cases. Even where not legally required, including salary ranges attracts 61% more engaged applicants, per LinkedIn data.

How can AI help write more inclusive job descriptions?

AI tools like Textio and Ongig Text Analyzer scan postings for biased language across gender, age, disability, and race dimensions. On the sourcing side, platforms like Pin go further - searching 850M+ profiles while excluding names, gender, and protected characteristics from the matching algorithm, addressing structural bias beyond just job description language.

What's the ideal length for a job description?

Short job descriptions (1-300 words) receive 8.4% more applications per view than average, according to LinkedIn's analysis of 4.5 million postings. Focus on essential responsibilities and 3-5 true requirements. Move "nice-to-haves" to a separate section. Cut jargon, filler phrases, and anything that doesn't help a candidate decide whether to apply.

Are Inclusive Job Descriptions Worth the Effort?

The data says yes. Inclusive language attracts more applicants, fills roles faster, and produces better retention outcomes. With 83% of global employers now running active DEI initiatives (World Economic Forum, 2025), inclusive job descriptions have moved from nice-to-have to table stakes.

Start with the highest-impact changes: remove gender-coded language (29% more applicants), separate required from optional skills, add a salary range, and replace your generic EEO statement with something specific and empathetic. Then measure the results and iterate.

The goal isn't perfect language - it's removing unnecessary barriers between qualified candidates and your open roles. Every barrier you remove expands your talent pool.

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