Match Jobs for Technical Writer Roles
A quick example on how you can match against listings with Technical Writer profiles through our job feed data API with semantic search capabilities.
This basic example demonstrates how to use the vector embeddings and vector search capabilities of the jobdata API to match Technical Writer job profiles based on semantic similarity. This way you can find job listings that align closely with a given job profile description, even if the exact keywords are not present in the job description. This is particularly useful for HR platforms, recruitment tools, and job boards aiming to improve candidate-job matching accuracy.
By leveraging our pre-generated embeddings and semantic search features, you can unlock powerful semantic matching capabilities to enhance your job search or recruitment platform. Whether you're matching candidates to jobs or analyzing job market trends, these features provide a robust solution for understanding and matching job profiles based on context and meaning.
Job Matching Example
The API provides pre-generated vector embeddings for all job posts, currently created using OpenAI's `text-embedding-3-small` model. These embeddings capture the semantic meaning of job titles and descriptions, enabling the API to perform semantic searches based on a job profile description.
When you provide a job profile description (e.g., "Skilled in creating clear, concise documentation, user manuals, and technical guides for software, hardware, and IT systems."), the API:
- Converts the text into a vector embedding in real-time.
- Compares this embedding against the pre-generated embeddings of job posts using cosine similarity.
- Returns job listings that are most semantically similar to the profile, ordered by relevance.
Here's a link to a live API results page:
Skilled in creating clear, concise documentation, user manuals, and technical guides for software, hardware, and IT systems.
The results include a cosine_dist field, which indicates the similarity between the query and each job post. Lower values represent higher semantic similarity.
Query the jobdata API
Example search request (with header auth):
curl -X GET -H \
"Authorization: Api-Key YOUR_API_KEY" \
https://jobdataapi.com/api/jobs/?max_age=90&vec_text=Skilled in creating clear, concise documentation, user manuals, and technical guides for software, hardware, and IT systems.
Example search request (with auth param):
curl https://jobdataapi.com/api/jobs/?api_key=<YOUR API KEY>&max_age=90&vec_text=Skilled in creating clear, concise documentation, user manuals, and technical guides for software, hardware, and IT systems.
Shown below is a live example of what a list with the top matched jobs could look like, filtered by the job position profile from above with the most recent data from our global database:
Technical Writer
Andhra Pradesh, Visakhapatnam, India
Full TimeEntry-level
Technical Writer
Islamabad, Islamabad Capital Territory, Pakistan
Full TimeMid-level
Technical Writer -IT
Hyderabad, Telangana, India
Full TimeSenior level
Technical Writer
Bangalore, India
Full TimeMid-level
Technical Writer
Colombo
Full TimeMid-level
Senior Technical writer
Nasr City, Al Manteqah Al Oula, Egypt
Full TimeSenior level
Software Engineer
Bengaluru, India
Full Time
Software Engineer
Bengaluru, India
Full Time
Manager, Technical Writing
Toronto, Ontario
Full TimeMid-level
Manager, Technical Writing - US
United States
Full TimeMid-level
Find out more on how to use the jobdata API in our docs.