Blogs

The Dos and Don’ts of Inclusive, Non-Biased Technical Job Descriptions

Diversity and inclusion are essential components of a thriving workplace. One of the foundational steps in fostering an inclusive work environment is creating job descriptions that are free from bias. Inclusive, non-biased job descriptions attract a diverse pool of candidates, which in turn fosters innovative solutions, improved team performance, and a positive company culture. In this article, we'll explore the importance of inclusive job descriptions and provide practical dos and don'ts to help you craft them.


WHY INCLUSIVE JOB DESCRIPTIONS MATTER

  1. Broadens Talent Pool: an inclusive job description appeals to a wider range of candidates. By using language that is welcoming and free of bias, you increase the likelihood of attracting diverse candidates and avoid excluding minorities.
  2. Enhances Innovation: different perspectives and experiences can lead to more creative solutions and innovative ideas. Inclusive job descriptions help in building such teams by ensuring that you don’t miss out on top talent due to unintentional biases in your job postings.
  3. Reflects Company Values: companies that prioritise diversity and inclusion are more attractive to job seekers. Inclusive job descriptions reflect your commitment to creating an equitable workplace and helping to build a positive employer brand.
  4. Improves Employee Retention: when employees feel included and valued, they are more likely to stay with the company. Inclusive hiring practices set the tone for a positive work environment and a sense of belonging.


DOS AND DON’TS OF WRITING INCLUSIVE JOB DESCRIPTIONS


Dos



  • Use gender-neutral language:
  • Do: replace gender-specific terms with neutral alternatives. For instance, use "salesperson" instead of "salesman."
  • Example: “The developer will be responsible for…” instead of “He will be responsible for…”
  • Focus on essential skills:
  • Do: highlight the skills and qualifications that are truly essential for the job. This approach reduces the likelihood of excluding candidates who might have taken non-traditional career paths.
  • Example: “Proficiency in Python and experience with machine learning frameworks” instead of “5+ years of experience in a senior engineering role.”
  • Highlight commitment to diversity:
  • Do: explicitly state your company’s commitment to diversity and inclusion. This reassures candidates that they are applying to a welcoming environment.
  • Example: “We are an equal opportunity employer and value diversity at our company.”
  • Use inclusive benefits:
  • Do: mention benefits that appeal to a diverse workforce, such as flexible working hours, parental leave, and professional development opportunities.
  • Example: “We offer flexible working arrangements and support for continuous learning.”
  • Simplify job titles:
  • Do: use straightforward and easily understandable job titles. Avoid jargon and titles that may be off-putting to some candidates.
  • Example: “Software Engineer” instead of “Ninja Coder” or “Rockstar Developer.”


Don’ts


  • Avoid unnecessary jargon:
  • Don’t: use industry-specific jargon or acronyms that might be unfamiliar to candidates from diverse backgrounds.
  • Example: “Must have experience with ABC framework and XYZ protocol” without explaining what they are.
  • Refrain from inflated requirements:
  • Don’t: list qualifications that are not essential for the job. Overstating requirements can discourage qualified candidates from applying.
  • Example: “Must have a Master’s degree in Computer Science” when a Bachelor’s degree with relevant experience is sufficient.
  • Don’t assume backgrounds:
  • Don’t: assume that candidates have had access to certain experiences or opportunities.
  • Example: “Must have participated in competitive programming contests” can be exclusionary. Instead, focus on the skills gained from various experiences.
  • Avoid age and gender bias:
  • Don’t: use phrases that suggest a preference for a particular age group or gender.
  • Example: “Young and energetic team” or “Looking for a female candidate” are explicit biases that should be avoided.
  • Stay clear of personality descriptors:
  • Don’t: use descriptors that imply a certain personality type, which can be exclusionary.
  • Example: “Looking for a dynamic and outgoing individual” instead of focusing on the specific skills needed for the role.

 

Creating inclusive, non-biased technical job descriptions is a crucial step toward building a diverse and innovative workforce. By focusing on essential skills, using gender-neutral language, and clearly stating your commitment to diversity, you can attract a wider range of talented candidates. The goal is to create an environment where every individual feels valued and included, starting from the very first point of contact: the job description. Embrace these best practices, and you'll be well on your way to fostering a more inclusive and dynamic workplace.

Glowing purple brain with interconnected lights, set against a swirling, dark purple and blue background.
By Kara Porter October 16, 2025
Explore why neurodiversity matters in tech, how different ways of thinking strengthen teams and practical strategies for building inclusive, high-performing data and tech teams.
Wind turbines and solar panels under a pink and purple sunset sky.
By Kara Porter September 29, 2025
Meeting net-zero targets starts with tech talent. Discover the critical cloud, security and integration roles driving a sustainable future.
Man with glasses in purple-lit room; on left, wearing headset and typing; on right, looking to the side.
By Kara Porter September 1, 2025
Ageism is holding back Australia’s tech workforce. Here’s why experience matters and how businesses can embrace age-inclusive hiring.
By Kara Porter August 12, 2025
Welcome to Lunch With a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business.
A computer chip is sitting on top of a purple motherboard.
By Kara Porter July 17, 2025
Spoiler: “Competitive salary” isn’t the hook you think it is.
By Kara Porter July 7, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business.
By Kara Porter June 11, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business. 
By Kara Porter June 3, 2025
Why the way you brief, partner, and align at the top matters more than ever.
By Kara Porter May 11, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business. 
A row of cars are driving down a city street at night. Ambient Intelligence.
By Kara Porter May 8, 2025
We’ve entered an era where the smartest systems aren’t the loudest. they’re the ones you don’t even notice. Ambient Intelligence (AmI), or “ambient invisible intelligence,” is reshaping how we live and work, not with fanfare, but with subtlety. This is AI that whispers instead of shouts. It learns your habits, senses your environment, and responds without you lifting a finger. It’s the kind of intelligence that anticipates, not interrupts. So… why should tech professionals, recruiters, and business leaders care? What Is Ambient Intelligence (AmI), Really? Ambient intelligence refers to digital systems—AI, sensors, and networks—that are embedded into our environments to support humans quietly and contextually. Think beyond chatbots and flashy dashboards. This is: Smart lighting that adjusts based on mood or weather Healthcare systems that flag early symptoms before patients notice Cybersecurity that auto-defends without alert fatigue Enterprise tools that prioritise tasks based on your unique working patterns. It’s a tech layer that fades into the background. That is, until you realise you couldn’t function without it. A Silent Revolution in the Workplace Here’s the interesting bit: Ambient AI isn’t just for homes and smart cities. It’s quietly infiltrating our workplaces. Talent Platforms that serve candidates content before they search. Meeting Software that understands conversation flow and adjusts transcripts, follow-ups, or even sentiment analysis in real time. Facilities Management tools that adjust airflow, lighting, and noise levels based on occupancy and stress indicators. And all of this happens without user prompts. We’ve moved from “Hey Siri” to “Siri already knows.” Why It Matters for Tech Recruitment Let’s talk talent. As ambient intelligence grows, we’ll see rising demand for: AI/ML engineers with human-centred design experience Data privacy and ethics specialists IoT security experts UX professionals who understand invisible design Integration architects who can make fragmented systems feel cohesive. And here’s the catch: these roles often require cross-functional fluency. Tech meets psychology, meets ethics, meets design. Are we ready for that shift? Ethical Design in the Background There’s power in invisibility. But there’s risk too. When tech becomes ambient, it also becomes less visible to scrutiny. That means: Bias can go unchecked Data privacy can slip through the cracks Users can be nudged without realising it. The question is no longer can we do this? —But should we? Smart businesses will bring in people who can answer that. Invisible, but Intentional The future of AI isn’t a robot in the boardroom. It’s the algorithm silently removing barriers before they appear. Ambient intelligence is already here. You may have just not noticed it. Yet.