patchmedia-org/remote-ai-evaluation-training-market-snapshot

Dataset Description

This is an aggregate August 22, 2026 research snapshot from Specialist AI Work, an independent PatchMedia tracker of reviewed remote AI evaluation, AI training, data annotation-adjacent, and expert-review opportunities.

The live Specialist AI Work inventory has advanced since this snapshot. The counts in this repository describe the immutable August 22 research object; they are not a claim about today's inventory.

• Reporting date: 2026-08-22
• Dataset fingerprint: dd7c74b586e40d579e6e0f7d531f35a8901a6079450b13ed9522c61c8a1c0722
• Inventory fingerprint: bb4434f43123a99a3560857de4b6cc37925234a5f2333448f4235a369ea319f6

What it contains

The repository contains aggregate data and first-party research covering:

• reviewed opportunity counts;
• comparable hourly-pay visibility and pay distributions;
• profession aggregates;
• platform aggregates;
• remote and applicant-location coverage; and
• dated research findings with denominators and sample sizes where applicable.

What it does not contain

This repository contains:

• no individual provider listing rows;
• no provider descriptions, requirements, or responsibilities;
• no applicant data;
• no raw referral or provider-source URLs; and
• no credentials, cookies, sessions, or private information.

Platform names occur only as factual identifiers in aggregate statistics.

Live and archived sources

• Current data
• Current report
• Methodology
• Citation guidance
• Versioned GitHub archive
• Exact August 22 snapshot DOI
• Version-series DOI
• Zenodo record

Data structure

Two CSV files are configured as separate Hugging Face viewer configurations using the truthful snapshot split name. This avoids treating unrelated JSON structures as one machine-learning table.

• data/ai-work-summary.csv: aggregate platform and profession counts, denominators, release timestamp, and dataset fingerprint.
• data/findings.csv: dated first-party findings with claims, values, units, sample sizes, denominators, provenance links, and immutable revision identity.
• data/ai-work-summary.json: full aggregate statistics, denominators, limitations, canonical links, rights, and release identity.
• data/findings.json: structured version of the dated first-party findings.
• data/platform-summaries.json: aggregate platform coverage and sufficiently sampled pay statistics.
• data/profession-summaries.json: aggregate profession coverage and sufficiently sampled pay statistics.
• data/charts.json: chart specifications and their aggregate-data provenance.
• metadata/data-dictionary.csv: definitions for distributed fields.
• metadata/dataset-metadata.json: research-object metadata and limitations.
• metadata/provenance.json: deterministic generation and exclusion record.
• manifest.json and checksums.txt: package identity and transport integrity evidence.
• schema.md, methodology.md, and limitations.md: schema, calculation, and interpretation guidance.
• RIGHTS.md: the complete custom rights boundary.
• CITATION.cff: the immutable release citation metadata.

Intended uses

• Descriptive analysis of this source-bounded snapshot.
• Research into visible advertised pay and pay transparency.
• Comparison of represented profession and platform aggregates.
• Reproduction and review of Specialist AI Work's published findings.

Out-of-scope uses

Do not use this dataset to:

• treat the snapshot as a census of all AI jobs;
• estimate market-wide wages without the documented caveats;
• assume archived opportunities remain open;
• infer an applicant's hiring probability; or
• infer guaranteed, typical, or realized pay.

Limitations

This is a source-bounded snapshot from one independent tracker, not a complete labor-market census or market-wide wage survey. Provider inventories can change after review. Advertised pay is not guaranteed and advertised ceilings are not typical earnings. Pay samples are limited to comparable visible amounts, and small samples are suppressed under the documented methodology. See limitations.md and the current methodology.

Rights

The dataset uses PatchMedia Aggregate Research Snapshot Terms — Version 1, represented in Hub metadata as license: other.

Read the complete terms in RIGHTS.md or in the immutable GitHub release. No CC BY, CC0, ODbL, or other standard open-data license is granted for the complete package.

Citation

PatchMedia. (2026). Specialist AI Work — Remote AI Evaluation & Training Market Snapshot. Zenodo. https://doi.org/10.5281/zenodo.22064474

For current citation guidance, see Specialist AI Work citation guidance.