Creating effective electronic job descriptions (eJDs) is crucial for streamlining recruitment processes, enhancing candidate engagement, and improving job matching accuracy. Below are detailed tips and best practices tailored to optimize your job descriptions, especially when used with RChilli solutions.
1. Use a Structured Format
A well-organized eJD helps both human readers and automated parsers like RChilli’s Job Parser. Use clearly defined sections such as:
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Job Title
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Job Summary
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Key Responsibilities
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Required Skills and Qualifications
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Preferred Skills
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Education & Certifications
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Location
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Compensation & Benefits
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Employment Type
Why it matters: Structured formats improve parsing accuracy and support intelligent matching algorithms.
2. Leverage RChilli’s Taxonomy for Skill Standardization
Use standardized job titles and skill names as per RChilli’s Taxonomy 3.0, which contains 3M+ skills and 2.4M+ job profiles across industries.
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Use the Taxonomy API to fetch abbreviations, synonyms, and standardized formats for skills and job titles.
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Improves candidate-job matching in Solr/Elasticsearch-based systems.
3. Write in Clear, Concise Language
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Avoid jargon and overly complex phrases. Use simple language that LLMs and resume/job parsers can easily interpret.
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Keep bullet points short and direct.
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Use action verbs: “Develop,” “Manage,” “Lead,” etc.
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Avoid vague phrases like “dynamic individual” or “go-getter.”
Why it matters: Clear language enhances parsing accuracy and candidate understanding.
4. Include Essential Metadata for Parsing and Matching
Ensure your eJD includes the following to enable accurate parsing and matching:
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Experience level (e.g., "3–5 years")
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Job location (including remote/hybrid if applicable)
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Skill tags (hard/soft skills separated clearly)
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Industry and domain context
RChilli’s Search & Match Engine uses this metadata to enhance matching relevance.
5. Make Job Descriptions Bias-Free
Utilize RChilli’s Job Zone Redaction and Resume Templater API to remove potentially biased content from your JDs:
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Avoid gendered language or references to age, race, or religion.
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Mask irrelevant personal details if republishing profiles for internal matching.
Learn about the Resume Templater API.
6. Optimize for Candidate Experience
Great eJDs aren’t just about accurate matching—they’re also a branding tool.
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Start with a compelling summary that aligns with your company culture.
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Highlight unique benefits, growth opportunities, and learning exposure.
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Use inclusive language that appeals to a diverse talent pool.
Bonus Tip: Use RChilli’s parser-enabled “Apply Now” button to simplify application workflows.
7. Test and Validate Your eJD
Before publishing, run your eJD through RChilli’s Job Parser to:
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Ensure all key data points are extracted correctly.
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Identify formatting or language issues that affect parsing.
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Align it with your ATS or HRMS data standards.
This is especially helpful when automating job matching using the Search & Match API.
Summary of Tools from RChilli to Use
| Feature | Purpose |
|---|---|
| Job Parser API | Extracts structured data from job descriptions. |
| Taxonomy 3.0 | Standardizes job titles and skills for consistency. |
| Search & Match Engine | Matches candidates with job descriptions intelligently. |
| Resume Templater API | Formats candidate profiles to align with JDs. |
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Job Parser API: Documentation
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Taxonomy 3.0: Documentation
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Search & Match Engine: Overview, API Endpoints
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Resume Templater API: Documentation
If you'd like help generating a sample eJD using these principles or want integration support, feel free to reach out at support@rchilli.com.
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