post-training jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, post-training appears in 347 job postings indexed by Skillenai over the past 90 days — Research Scientist has the most postings mentioning post-training, with demand share up 33.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want post-training?
Upload your resume and Skillenai will show which roles your post-training experience fits, which skills you already cover, and what is missing.
Frequently asked questions about post-training
+Is post-training in demand in 2026?
Yes. post-training appears in 347 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Research Scientist accounts for the most postings mentioning post-training (17.0% of all postings mentioning post-training).
+What jobs require post-training?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning post-training are Member of Technical Staff (24.4% of that role’s postings mention post-training), AI Researcher (12.5% of that role’s postings mention post-training), AI Research Scientist (7.7% of that role’s postings mention post-training).
+What skills are commonly paired with post-training?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), post-training most often appears alongside Python, Reinforcement learning, fine-tuning, PyTorch, Machine Learning.
+Where is post-training most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring post-training are San Francisco, New York City, London, Mountain View, Palo Alto, according to the Skillenai jobs index.
+How can I keep up with new post-training content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning post-training alongside the jobs index. You can subscribe to a daily email digest of new post-training content from your Skillenai account.
+Which skills come before and after post-training?
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 post-training — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around post-training
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require post-training
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Member of Technical Staff | 10 | 24.4% |
| AI Researcher | 14 | 12.5% |
| AI Research Scientist | 6 | 7.7% |
| Applied Scientist | 18 | 7.4% |
| CTO | 6 | 7.0% |
| Developer Relations Manager | 3 | 7.0% |
| Research Engineer | 41 | 6.2% |
| Research Scientist | 59 | 5.7% |
| Applied Researcher | 3 | 5.6% |
| Applied Data Scientist | 1 | 3.7% |
Roles with the most post-training postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Research Scientist | 59 | 17.0% |
| Research Engineer | 41 | 11.8% |
| Machine Learning Engineer | 22 | 6.3% |
| ML Engineer | 20 | 5.8% |
| Applied Scientist | 18 | 5.2% |
| AI Engineer | 17 | 4.9% |
| Software Engineer | 15 | 4.3% |
| AI Researcher | 14 | 4.0% |
| Solutions Architect | 12 | 3.5% |
| Member of Technical Staff | 10 | 2.9% |
Top companies posting jobs requiring post-training
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NVIDIA | 26 |
| Scale AI | 15 |
| CLERA | 14 |
| Turing | 11 |
| Mistral | 10 |
| Waymo | 9 |
| Together AI | 8 |
| xAI | 7 |
| Decagon | 7 |
| Mercor | 6 |
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 post-training
| Name | Postings | Share |
|---|---|---|
| San Francisco | 83 | 23.9% |
| New York City | 29 | 8.4% |
| London | 13 | 3.7% |
| Mountain View | 11 | 3.2% |
| Palo Alto | 11 | 3.2% |
| Seattle | 9 | 2.6% |
| Santa Clara | 7 | 2.0% |
| Seoul | 5 | 1.4% |
| Sunnyvale | 4 | 1.2% |
Skills commonly paired with post-training
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 2026-11-05. 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 post-training by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s post-training postings by all post-training 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- d2919da5485942a4
- data_as_of
- 2026-11-05
- window_days
- 90