HeadcountLabs/remote-jobs

Remote Jobs: Job Postings Snapshot

Job postings whose work_arrangement is remote. 185,690 jobs, one row per job, from a snapshot taken on 2026-10-19 of the jobs Headcount Labs reads from employers' own hiring systems. 2.2% of the 8,367,419 jobs with a title in the snapshot match.

Source: Headcount Labs (headcountlabs.com), licensed under CC BY 4.0. Live data is at headcountlabs.com.

Load it

from datasets import load_dataset

ds = load_dataset("HeadcountLabs/remote-jobs", split="train")
print(ds.num_rows, ds[0]["title"], "|", ds[0]["employer_name"])

To read it without downloading everything, pass streaming=True to load_dataset.

Which jobs are included

A job is in this dataset when its work_arrangement field is remote. That field comes from what the posting states. The rule never looks at the title or the description. Jobs marked hybrid or in_person, and jobs whose posting does not state an arrangement, are left out. Only 20.6% of the 8,367,419 jobs with a title in the snapshot state an arrangement, so this dataset is a lower bound on the remote jobs that exist.

Each row is one job. Postings of the same opening on different sources are merged into one job, and posting_url links to an original listing. The job description text is not included. Pay, location and dates are copied as the employer published them.

Numbers in this snapshot

Every figure on this card is counted from the Parquet files in data/ of this repository, on 2026-10-19.

Measure	Value
Jobs (rows)	185,690
Rows marked current	185,583 (99.9%)
Distinct employer names	21,243
Posted between	2006-08-02 and 2026-10-19
Posted in the 30 days before the snapshot	78,265
Rows with a published pay range	67,602 (36.4%)
Rows with a location	160,830 (86.6%)

Work arrangement: 100.0% of the rows state remote, 0.0% hybrid, 0.0% in_person and 0.0% state no arrangement.

67,602 rows (36.4%) carry a published pay range; 60,853 of them are in USD.

Top employers:

#	Employer	Jobs	Share
1	Jobgether	3,863	2.1%
2	KINDERCARE	2,854	1.5%
3	EPAM Systems	2,380	1.3%
4	Bjak	2,223	1.2%
5	Talent Sphere Staffing	1,859	1.0%
6	AO Globe Life	1,743	0.9%
7	TowardJobs	1,324	0.7%
8	Insight Global	1,183	0.6%
9	Signify Health Medical Associates, PLLC	1,097	0.6%
10	Bluelight Consulting	1,096	0.6%
11	Thermo Fisher Scientific	924	0.5%
12	Sato	854	0.5%
13	TSMG	774	0.4%
14	Mindrift	734	0.4%
15	Humana	733	0.4%

Top locations (first listed location):

#	Location	Jobs	Share
1	New York, US-NY	2,302	1.2%
2	Boston, US-MA	1,421	0.8%
3	Helena, US-MT	1,410	0.8%
4	Los Angeles, US-CA	1,399	0.8%
5	Chicago, US-IL	1,376	0.7%
6	Atlanta, US-GA	1,107	0.6%
7	San Francisco, US-CA	1,062	0.6%
8	Dallas, US-TX	913	0.5%
9	Austin, US-TX	893	0.5%
10	Houston, US-TX	881	0.5%

Top countries:

#	Country	Jobs	Share
1	US	96,221	51.8%
2	CA	5,765	3.1%
3	GB	4,846	2.6%
4	IN	4,320	2.3%
5	BR	3,888	2.1%
6	DE	3,661	2.0%
7	PH	3,040	1.6%
8	FR	2,565	1.4%
9	MX	2,556	1.4%
10	PL	2,441	1.3%

Most common employment types:

employment_type	rows
Full-time	31,166
Full time	28,636
FullTime	16,477
Full-Time	13,082
FULL_TIME	12,998
Full Time	8,392
Contract	6,706
Remote	3,901

Pay intervals (rows with published pay):

pay_interval	rows
year	43,975
hour	13,956
unknown	6,573
month	3,098

Fields

Column	Type	Meaning
job_id	string	Stable Headcount Labs job ID (UUID). The same ID is used in the main dataset.
title	string	Job title as the employer wrote it.
employer_name	string	Employer name as published.
company_id	string	Headcount Labs company ID when the employer is matched to a company record, else null.
work_arrangement	string	remote, hybrid or in_person when the posting states it, else null.
employment_type	string	Employment type as the source states it (free text, for example Full time, Internship). Null when not published.
currentness	string	current, uncertain or not_current: whether we have recent evidence that the job is still open at the snapshot.
location_country, location_region, location_city	string	First listed location. Country is an ISO code, region an ISO 3166-2 code such as US-TX.
location_count	int	Number of locations listed for the job.
locations_json	string (JSON)	All locations, each with a state and a value holding city, region, country and more.
pay_min, pay_max	double	Pay range as published, not converted. Null when the employer did not publish pay.
pay_currency, pay_interval	string	Currency (for example USD) and interval (hour, year, month, unknown) as published.
posted_at	string	Earliest posting date of the job, ISO 8601 UTC text.
job_first_seen_at, job_updated_at	string	When we first collected the job and when its record last changed.
posting_url	string	Link to an original listing of the job on the employer's site or board.
application_url	string	Link to apply, when published.
source_type, source_class	string	Kind of source the posting came from (for example an ATS name) and its class (ats, employer-site, government-exchange and others).
posting_count	int	Number of postings (listings on different sources) merged into the job.
has_description	int	1 when the source published a description. The description text is not in this dataset.

Source

The jobs are read from employers' public hiring systems: applicant tracking systems, company careers pages and public government job exchanges. Only postings whose source terms allow redistribution are included. Titles, employer names and pay are the employers' own words and numbers. This dataset is a cut of the full snapshot published as HeadcountLabs/job-postings, built from the same export on 2026-10-19. It is a one-off snapshot and is not updated.

Related

• Full dataset: HeadcountLabs/job-postings
• Open jobs lists on GitHub, refreshed daily: remote-jobs
• Jobs API: https://headcountlabs.com/docs/
• MCP server for AI assistants: https://headcountlabs.com/mcp/
• Headcount Labs: https://headcountlabs.com

License

CC BY 4.0. Source: Headcount Labs (headcountlabs.com), licensed under CC BY 4.0. Job postings belong to the employers that published them.