Historical Job Postings for Remote Jobs

• Scope: All job postings we found for Remote
• Snapshot range: 2024-01-01 through your subscription date
• Job postings: 1.4M job postings (as of Sept. 2026), on average 57.9K new job postings per month (as of mid 2026)
• Format: JSON Lines (gzip) via Amazon S3
• Access: One-time purchase, 1-month download window, no renewal

This job postings dataset is a historical archive for Remote. It contains all job postings we found from January 2024 through the date you subscribe, including title, company, location, dates, and salary where available - 1.4M job postings (as of Sept. 2026), on average 57.9K new job postings per month (as of mid 2026).

Once delivered, the archive is fixed: it won't include postings dated after your subscription date, and it isn't refreshed or extended afterward. If you need ongoing daily updates, subscribe to our 3-month data feed for Remote instead.

Job postings are provided as gzip-compressed JSON Lines files named techmap_jobs_##_YYYY-MM-DD.jsonl.gz, one file per day and one posting per JSON line. Need CSV, XML, RSS, Atom or Parquet instead? Our conversion guide  has ready-to-use code in JavaScript, Python, Java and bash.

Monthly job-count statistics and the full time series are available in our Data Explorer: https://jobdatafeeds.com/data/countries/remote 

Job postings are public job offerings - the roles, skills, locations and salaries companies hire for. That makes them an early business signal:

• Sales Intelligence - companies posting job offerings for roles your product supports are warm leads.
• Competitive Intelligence - your competitors' job offerings show which roles, skills and locations they invest in - new products, expansions or cutbacks before they are announced.
• Market Intelligence - measure hiring demand by industry, region or skill to spot trends early.
• Recruitment Intelligence - benchmark salaries, required skills and talent demand.
• Historical Benchmarking - measure how hiring evolved over time, train or backtest models, or set a baseline before starting an ongoing feed.

For more use cases, see our use-case overview: https://jobdatafeeds.com/#use-cases 

• Data format: JSON Lines (gzip)
• Geographic coverage: Remote jobs (not tied to a single country)
• Historical coverage: January 1, 2024 through your subscription date - fixed at signup, not extended afterward
• Update frequency: None after signup - this is a historical archive
• Delivery: Amazon S3 data access (AWS Data Exchange), delivered once
• File size: ~50 MB (gzip) per file on average, up to ~1 GB in rare cases

A single one-time purchase with a 1-month download window (no renewal). You receive the complete historical archive from January 1, 2024 up to your subscription date, delivered once. The data is licensed for the subscriber's own internal use and may not be resold.

For bundles (e.g., Global, EU, DACH, APAC, ASEAN, MERCOSUR or language spheres) or countries not yet listed on AWS Data Exchange, visit jobdatafeeds.com  or contact data@techmap.io . We can add datasets or data feeds for other countries and bundles within a few days.

Test our free Luxembourg dataset and data feed on AWS Data Exchange , or browse our Job Data Overview  for sample records and schema documentation. See the full monthly time series for Remote at jobdatafeeds.com/data/countries/remote .

If you have questions about our data products, please contact data@techmap.io .

Techmap developed and operates Techmap.io , a global workplace search engine that crawls the web daily and collects millions of international job postings to analyze technology adoption in companies. See jobdatafeeds.com  for details.