Supervised Fine-Tuning (SFT) jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-27, Supervised Fine-Tuning (SFT) appears in 9 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles.
Last updated · 90d ending 2026-08-27
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Frequently asked questions about Supervised Fine-Tuning (SFT)
+Is Supervised Fine-Tuning (SFT) in demand in 2026?
Yes. Supervised Fine-Tuning (SFT) appears in 9 job postings indexed by Skillenai over the 90 days ending 2026-08-27. It is most often required for Software Engineer roles (44% of Software Engineer postings list it).
+What jobs require Supervised Fine-Tuning (SFT)?
According to the Skillenai jobs index over the 90 days ending 2026-08-27, the job titles most likely to require Supervised Fine-Tuning (SFT) are Software Engineer (44% of postings list Supervised Fine-Tuning (SFT)), Applied Machine Learning Engineer (22% of postings list Supervised Fine-Tuning (SFT)), Machine Learning Engineer (11% of postings list Supervised Fine-Tuning (SFT)).
+What skills are commonly paired with Supervised Fine-Tuning (SFT)?
Across job postings indexed by Skillenai (90 days ending 2026-08-27), Supervised Fine-Tuning (SFT) most often appears alongside machine learning, Python, fine-tuning, computer vision, data pipelines.
+Where is Supervised Fine-Tuning (SFT) most in demand?
As of 2026-08-27, the metro areas posting the most jobs requiring Supervised Fine-Tuning (SFT) are Washington, London, San Francisco, Singapore, according to the Skillenai jobs index.
+How can I keep up with new Supervised Fine-Tuning (SFT) content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Supervised Fine-Tuning (SFT) alongside the jobs index. You can subscribe to a daily email digest of new Supervised Fine-Tuning (SFT) content from your Skillenai account.
Weekly job postings requiring Supervised Fine-Tuning (SFT) — last 90 days
Job titles most likely to require Supervised Fine-Tuning (SFT)
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 4 | 44.4% |
| Applied Machine Learning Engineer | 2 | 22.2% |
| Machine Learning Engineer | 1 | 11.1% |
| Research Product Manager | 1 | 11.1% |
| Research Scientist | 1 | 11.1% |
Top metros hiring for Supervised Fine-Tuning (SFT)
| Name | Postings | Share |
|---|---|---|
| Washington | 3 | 33.3% |
| London | 2 | 22.2% |
| San Francisco | 2 | 22.2% |
| Singapore | 2 | 22.2% |
Skills commonly paired with Supervised Fine-Tuning (SFT)
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-27. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 55a0376cdb8dfdd1
- data_as_of
- 2026-08-27
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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