Some Job Listings in Singapore
Published: 2026 September 08
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Legend
Retrievals
Annotations
| # | Employer | Job title | Listing Date | Role Category |
|---|
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About this pipeline
- The data was first prepared on:
- The data was most recently prepared on:
- Number of listings retrieved:
- Number of listings which are also fresh:
- Number of listings which are also in a specific role category:
About this table
This table aggregates some job listings which fulfill the following criteria:
- The employer may be categorized as either a software technology or hardware technology company.
- The job is based in Singapore.
- The job listing was published by the employer in the past 14 days.
- The job listing may be categorized as one of the following: .
- The employer's requirements align with the author's capabilities, preferences and interests.
The job listings information come from:
- An employer's careers webpage. This information are retrieved, and lightly edited, if at all.
- Annotations (e.g. "Role Category" values). These are derived from four sources: deterministic keyword rules, a large language model's analysis of job responsibilities, a large language model's analysis of job requirements, and the author's manual classification.
The column values are explained as follows:
- "#": Shows the order number in the shown results.
- "EMPLOYER": Shows a company's commonly known company name.
- "JOB TITLE": Shows a job listing's title as originally written by a company.
- "LISTING DATE": Shows a job listing's (1) publication date, (2) most recent modification date or (3) when the first two are unavailable, then the addition date to the table. If values (1) and (2) are present then the more recent value is shown, otherwise value (3) is shown.
- "ROLE CATEGORY": Shows an annotation value applied in one of four sources: (1) A deterministic rule-based keyword matching approach, (2) a non-deterministic rule-based responsibilities analysis by a third-party LLM AI service (Google Gemini), (3) a non-deterministic rule-based requirements analysis by a third-party LLM AI service (Google Gemini), and (4) a person-in-the-loop's process guidelines approach.
Refer to the legend to see the types of data shown in the table.