dataset creation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, dataset creation appears in 55 job postings indexed by Skillenai over the past 90 days — AI Quality Evaluator has the most postings mentioning dataset creation.
Last updated · 90d ending 2026-10-29
Which roles want dataset creation?
Upload your resume and Skillenai will show which roles your dataset creation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about dataset creation
+Is dataset creation in demand in 2026?
Yes. dataset creation appears in 55 job postings indexed by Skillenai over the 90 days ending 2026-10-29. AI Quality Evaluator accounts for the most postings mentioning dataset creation (23.6% of all postings mentioning dataset creation).
+What jobs require dataset creation?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning dataset creation are AI Benchmark Engineer (21.7% of that role’s postings mention dataset creation), AI Training Specialist (2.6% of that role’s postings mention dataset creation), ML Research Engineer (2.6% of that role’s postings mention dataset creation).
+What skills are commonly paired with dataset creation?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), dataset creation most often appears alongside data labeling, Python, quality assurance, AI-generated content evaluation, annotation.
+Where is dataset creation most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring dataset creation are San Francisco, Amsterdam, Berlin, Bangkok, Taipei, according to the Skillenai jobs index.
+How can I keep up with new dataset creation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning dataset creation alongside the jobs index. You can subscribe to a daily email digest of new dataset creation content from your Skillenai account.
+Which skills come before and after dataset creation?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring dataset creation — last 90 days
Career paths around dataset creation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before dataset creation
Skills after dataset creation
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: CNN (Convolutional Neural Network) | 1 |
| Before: clinical trial | 1 |
| Before: machine learning models | 1 |
| Before: thermal imaging processing classifiers | 1 |
| After: llm | 1 |
| After: dashboard development | 1 |
| After: predictive maintenance | 1 |
| After: ML techniques | 1 |
| After: anomaly detection | 1 |
Roles most likely to require dataset creation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Benchmark Engineer | 5 | 21.7% |
| AI Training Specialist | 1 | 2.6% |
| ML Research Engineer | 1 | 2.6% |
| C++ Software Engineer | 1 | 2.2% |
| Researcher | 1 | 2.0% |
| AI Trainer | 1 | 0.7% |
| Research Engineer | 4 | 0.6% |
| QA Engineer | 1 | 0.1% |
| Technical Program Manager | 2 | 0.1% |
| Data Scientist | 4 | 0.1% |
Roles with the most dataset creation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Quality Evaluator | 13 | 23.6% |
| AI Benchmark Engineer | 5 | 9.1% |
| Data Scientist | 4 | 7.3% |
| Research Engineer | 4 | 7.3% |
| Analytics Assistant Manager | 2 | 3.6% |
| Applied ML Engineer | 2 | 3.6% |
| Data Labeling Analyst | 2 | 3.6% |
| Software Engineer | 2 | 3.6% |
| Technical Program Manager | 2 | 3.6% |
| AI Evaluation Scientist | 1 | 1.8% |
Top companies posting jobs requiring dataset creation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Canva | 13 |
| OpenBrain | 5 |
| Lilt-production | 3 |
| Weloglobal | 2 |
| OpenAI | 2 |
| LILT | 2 |
| Grab | 2 |
| Macroscope | 2 |
| HumanSignal | 2 |
| Foundation Llm Technologies | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for dataset creation
| Name | Postings | Share |
|---|---|---|
| San Francisco | 7 | 12.7% |
| Amsterdam | 3 | 5.5% |
| Berlin | 3 | 5.5% |
| Bangkok | 2 | 3.6% |
| Taipei | 2 | 3.6% |
| Foster City | 1 | 1.8% |
| Jakarta | 1 | 1.8% |
| London | 1 | 1.8% |
| Lublin | 1 | 1.8% |
Skills commonly paired with dataset creation
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning dataset creation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s dataset creation postings by all dataset creation postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- bcf5f6e9922bbb79
- data_as_of
- 2026-10-29
- window_days
- 90