Salary insights

Salary at KAISHI PARTNERS PTE. LTD. in Singapore

Market pay levels based on 6 offers with salary.

Browse vacancies

Recalculated from open vacancies where the employer states pay.

Median17 166 $Half of offers pay more, half pay less
Average17 166 $Arithmetic mean of all offers
Lower quartile17 166 $25% of offers pay less
Upper quartile17 166 $25% of offers pay more

How pay is distributed

The band covers the middle half of the market (25th–75th percentile); the line marks the median.

Lower quartile17 166 $
Median17 166 $
Upper quartile17 166 $

What the numbers mean

  • Half of all offers fall between 17 166 $ and 17 166 $.
  • Every fourth offer pays more than 17 166 $.
  • The average is close to the median, so offers are spread evenly.
  • The sample is small (6 offers), so treat the numbers as a rough guide.

Compare your salary

Check in one step whether your pay is above or below the market for this selection.

Vacancies with salary

All matching vacancies
KAISHI PARTNERS PTE. LTD. Singapore ·

AI Infrastructure Engineer

$10,000 – $20,000

Our client is an early-stage, venture-backed AI startup building a personal agent that understands users’ preferences, helps them discover relevant products, and follows through on their de…

Full time3–6 yearsOn-siteSingapore
Apply
KAISHI PARTNERS PTE. LTD. Singapore ·

ML Researcher — Agentic Reinforcement Learning

$10,000 – $20,000

About the company Our client is an early-stage, venture-backed AI startup building a personal shopping agent that understands users’ preferences, helps them discover relevant products, and…

Full time3–6 yearsOn-siteSingapore
Apply
KAISHI PARTNERS PTE. LTD. Singapore ·

Full Stack Engineer — AI Products

$10,000 – $20,000

About the company Our client is an early-stage, venture-backed AI startup building a personal shopping agent that understands users’ preferences, helps them discover relevant products, and…

Full time3–6 yearsOn-siteSingapore
Apply
KAISHI PARTNERS PTE. LTD. Singapore ·

Senior/Staff Platform Engineer

$12,000 – $18,000

Kaishi is currently with a fast growing AI-focused start-up building enterprise software for regulated industries, including banking, financial services and insurance. What they do The firm…

Full time6+ yearsOn-siteSingapore
Apply
KAISHI PARTNERS PTE. LTD. Singapore ·

Senior Full Stack AI Engineer (NextJs/Typescript/ReactJs))

$10,000 – $15,000

Kaishi is currently working with an early-stage AI startup building a platform that deploys specialized agents across multiple digital channels —helping businesses automate growth, content,…

Full time1–3 yearsOn-siteSingapore
Apply
KAISHI PARTNERS PTE. LTD. Singapore ·

Business Development Manager

$5,000 – $10,000

About the Role A logistics technology company is seeking a proactive Business Development Manager to grow its customer pipeline in Singapore. You will identify prospective customers, genera…

Full time1–3 yearsOn-siteSingapore
Apply

Frequently asked questions

Why show the median instead of the average?

The median (17 166 $) is the middle of the market: half of the offers pay more and half pay less. Unlike the average (17 166 $), it is not skewed by a handful of very high salaries.

What does the typical range mean?

From 17 166 $ to 17 166 $ is the middle half of all offers — the 25th to 75th percentile. A quarter of vacancies pay below 17 166 $ and a quarter above 17 166 $.

Where does the data come from?

From 6 open vacancies with a stated salary that Finder collects from public sources. Numbers are recalculated as the selection changes.

How do I tell whether I am paid fairly?

Compare your pay with the median and the quartiles: near 17 166 $ is the market level, above 17 166 $ is the strong quarter, below 17 166 $ is a reason to negotiate. Use the “Compare my salary” button on this page.

How we calculate salaries

Short methodology and the data behind these numbers.

  1. 1We collect offersOnly vacancies from open sources where the employer states pay are used.
  2. 2We normalise themA salary range is reduced to one comparable value per vacancy.
  3. 3We compute percentilesMedian, quartiles and the average are calculated from at least 5 offers; otherwise the wider country market is shown.
  4. 4We refresh the numbersStatistics are recomputed as new vacancies appear and closed ones drop out.

Figures are pay as published by employers: taxes, bonuses and seniority inside a grade are not accounted for.