This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

Salary information for State of Vermont active employees from all branches. Generally, employees who are expected to work year-round have salaries stated as salary type "Annual." Temporary employees have salaries stated as salary type "Hourly." Legislators, who usually do not work year-round, have salaries stated as salary type "Weekly." The weekly rate reported here is the rate paid during the legislative session. Data as of the last Friday of each month. NOTE: Individuals covered by the Safe at Home Act (Title 15 Sections 1150-1160) have been excluded from this list.

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Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2024. This information will be published annually each year.

This dataset includes Baltimore City employee salaries and gross pay from fiscal year 2011 through last fiscal year and includes employees who were employed on June 30 of the last fiscal year. For fiscal years 2020 and prior, data are extracted from the ADP payroll system. For fiscal year 2023, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.Change Log- Added FY2023 data- Metadata added- Columns renamed to a standard format- Youth workers not employed by City removed- Agency names reformatted with Workday conventions-7/25/24: Added FY2024 data. To leave feedback or ask a question about this dataset, please fill out the following form: Baltimore City Employee Salaries feedback form.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that include salary and compensation data. The dataset consists of salary data by employee reported by State Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

This data is subject to change at any time due to personnel actions that are consistent with the City's approved Pay Plan. Employee compensation is limited to the following pay: regular wages, over time, productivity enhancement, shift differential, standby, incentive pay, allowances, and leave payouts. The data is a snapshot as of December 31st of the reported year.

Job descriptions, pay ranges, and benefits information is available at: https://www.phoenix.gov/hr/job-descriptions

Total compensation information is available at: https://www.phoenix.gov/hr/current-jobs/total-compensation-information

Employee terms by unit is available at: https://www.phoenix.gov/hr/employee-terms-by-unit

The dataset contains the name, gender, county or city of residence (when possible), official title, total salary received during each fiscal year, base salary for the employee, and traveling and subsistence expense reimbursed to state personnel beginning with Fiscal Year 2007. A status of "TERMINATED" in the column providing the base salary does not indicate that the employee was fired, only that the person no longer works in that position.

Dataset Card for Data Science Job Salaries

  Dataset Summary





  Content

Column Description

work_year The year the salary was paid.

experience_level The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director

employment_type The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance

job_title… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/data-science-job-salaries.

This dataset has been published by the Human Resources Department of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

Distributed by

data.virginiabeach.gov

2405 Courthouse Dr.

Virginia Beach, VA 23456

Entity

Employee Salaries

Point of Contact

Human Resources

Attributes

Column: Department

Description: 3-letter department code

Column: Department Division

Description: This is the City Division that the position is assigned to.

Column: PCN

Description: Tracking number used to reference each unique position within the City.

Column: Position Title

Description: This is the title of the position (per the City’s pay plan).

Column: FLSA Status

Description: Represents the position’s status with regards to the Fair Labor Standards Act (FLSA)

“Exempt” - These positions do not qualify for overtime compensation – Generally, a position is classified as FLSA exempt if all three of the following criteria are met: 1) Paid at least $47,476 per year ($913 per week); 2) Paid on a salary basis - generally, salary basis is defined as having a guaranteed minimum amount of pay for any work week in which the employee performs any work; 3) Perform exempt job duties - Job duties are split between three classifications: executive, professional, and administrative. All three have specific job functions which, if present in the employee’s regular work, would exempt the individual from FLSA. Employees may also be exempt from overtime compensation if they are a “highly compensated employee” as defined by the FLSA or the position meets the criteria for other enumerated exemptions in the FLSA.

“Non-exempt” – These positions are eligible for overtime compensation - positions classified as FLSA non-exempt if they fail to meet any of exempt categories specified in the FLSA.

Column: Initial Hire Date

Description: This is the date that the full-time employee first began employment with the City.

Column: Date in Title

Description: This is the date that the full-time employee first began employment in their current position.

Column: Salary

Description: This is the annual salary of the full-time employee or the hourly rate of the part-time employee.

Frequency of dataset update

Monthly

####About Dataset

This dataset was retrieved from the page https://ai-jobs.net/salaries/download/

This site collects salary information anonymously from professionals all over the world in the AI, ML, Data Science space and makes it publicly available for anyone to use, share and play around with.

The primary goal is to have data that can provide better guidance in regards to what's being paid globally. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to make a career switch can make better informed decisions.

work_year: The year the salary was paid. experience_level: The experience level in the job during the year with the following possible values: EN: Entry-level / Junior MI: Mid-level / Intermediate SE: Senior-level / Expert EX: Executive-level / Director employment_type: The type of employement for the role: PT: Part-time FT: Full-time CT: Contract FL: Freelance job_title: The role worked in during the year. salary: The total gross salary amount paid. salary_currency: The currency of the salary paid as an ISO 4217 currency code. salary_in_usd: The salary in USD (FX rate divided by avg. USD rate of respective year via data from fxdata.foorilla.com). employee_residence: Employee's primary country of residence in during the work year as an ISO 3166 country code. remote_ratio: The overall amount of work done remotely, possible values are as follows: 0: No remote work (less than 20%) 50: Partially remote/hybrid 100: Fully remote (more than 80%) company_location: The country of the employer's main office or contracting branch as an ISO 3166 country code. company_size: The average number of people that worked for the company during the year: S: less than 50 employees (small) M: 50 to 250 employees (medium) L: more than 250 employees (large)

The payroll data represents the amount paid to an employee during the reported time period. In addition to regular pay, these amounts may include other pay types such as overtime, longevity, shift differential or terminal pay. This amount does not include any state share costs associated with the payroll i.e. FICA, state share retirement, etc. This amount may vary from an employee’s ‘salary’ due to pay adjustments or pay period timing. The payroll information will be updated monthly after the end of the month. For example, July information will be added in August after the 15th of the month.

This Dataset containes the details of the AI, ML, Data Science Salary (2020- 2025). Salary data is in USD and recalculated at its average fx rate during the year for salaries entered in other currencies.

The data is processed and updated on a weekly basis so the rankings may change over time during the year.

Attribute Information

• work_year: The year the salary was paid.
• experience_level: The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director
• employment_type: The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance
• job_title: The role worked in during the year.
• salary: The total gross salary amount paid.
• salary_currency: The currency of the salary paid as an ISO 4217 currency code.
• salary_in_usd: The salary in USD (FX rate divided by avg. USD rate of respective year) via statistical data from the BIS and central banks.
• employee_residence: Employee's primary country of residence in during the work year as an ISO 3166 country code.
• remote_ratio : The overall amount of work done remotely, possible values are as follows: 0 No remote work (less than 20%) 50 Partially remote/hybird 100 Fully remote (more than 80%)
• company_location: The country of the employer's main office or contracting branch as an ISO 3166 country code.
• company_size: The average number of people that worked for the company during the year: S less than 50 employees (small) M 50 to 250 employees (medium) L more than 250 employees (large)

Acknowledgements

https://aijobs.net/

Photo by Anastassia Anufrieva on Unsplash

Metro Nashville general government employees’ titles and base annual salaries. This dataset is updated annually.Source Link: https://www.nashville.gov/departments/human-resourcesMetadata Document: General Government-Employees-Titles-and-Base-Annual-Salaries-Metadata.pdfContact Data Owner: opendata@nashville.gov

The payroll data represents the amount paid to an employee during the reported time period. In addition to regular pay, these amounts may include other pay types such as overtime, longevity, shift differential or terminal pay. This amount does not include any state share costs associated with the payroll i.e. FICA, state share retirement, etc. This amount may vary from an employee’s ‘salary’ due to pay adjustments or pay period timing. The payroll information will be updated monthly after the end of the month. For example, July information will be added in August after the 15th of the month.

The Employee Salary dataset contains payroll and position data, including: position description, department, FLSA status, pay range, pay grade and step (if applicable), bargaining unit, and base salary information. Each row contains relevant data for a single employee or vacant position. A data dictionary with descriptions of the fields included in the dataset can be downloaded here. The core dataset is updated semi-annually and supporting files on an as-needed basis.Additional supporting files include: Salary bands for each pay grade and step (if applicable) for the four labor groups:Boulder Municipal Employee’s Association – BMEA International Association of Fire Fighters – IAFFBoulder Police Officer’s Association – BPOAManagement / Non-Union – MGMTList of currently used job classes by labor group and grade

This dataset includes annual salary, regular pay, incentive pay, and gross pay for employees under the County Executive and independently elected County officials for the years 2016 to the present, and is updated twice per year. For December files, Annual Salary is the employee's annual salary or annualized wage as of the last pay period for the year, and the pay data fields (Regular Pay, Incentive Pay and Gross Pay) are payments made to the employee through the last pay period of the year. The June file contains the Annual Salary, and the pay data as of the last pay period in June. Note that the June file is replaced by the December file each year. Union contracted salaries and wages which were not settled during the calendar year reflect the wage as of the end of the year. Regular Pay for these positions includes salaries and wages for the year it was paid, not the year it was earned. In addition to salary or wages for days worked and retroactively settled contract payments, Regular Pay also includes pay for days such as holidays, sick days, and vacation days. Overtime Pay includes pay for extra work typically at a wage rate different from regular wages as set forth in a collective bargaining agreement. Incentive Pay includes such things as a wellness incentive and longevity pay. Employee names are included in the dataset with the following exceptions permitted by the Pennsylvania Right to Know Law: The names of individuals who were active sworn law enforcement officers during the year; and Information that would disclose individually identifiable health information. Additionally, records related to Court of Common Pleas employees would need to be requested from the Courts. In March 2022, the salary data files prior to 2021 were updated so that all columns matched for consistent presentation.

City-Parish employees' annual salaries and other payroll related information. Information is calculated after the last payroll is run for the year specified. Some fields, such as job title and department, are accurate as of the time the data was captured for Open Data BR. For example, if an employee worked for three departments throughout the year, only the department they worked for at the time we collected the data will be shown. ***In November of 2018, the City-Parish switched to a new payroll system. This data contains employee information from 2018 onward. For prior year data, please see the Legacy City-Parish Employee Annual Salaries https://data.brla.gov/Government/Legacy-City-Parish-Employee-Annual-Salaries/g5c2-myyj

Graph and download economic data for Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over (LEU0254477400A) from 2000 to 2024 about administrative, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.