Supervised Fine-Tuning (SFT)

Frequently asked questions

• What is Supervised Fine-Tuning (SFT) and how common is it in AI job postings?

  Supervised Fine-Tuning (SFT) is a skill in the "ML Techniques" category. It currently appears in 149 active AI roles across 43 companies in our index.

• Which companies are hiring for Supervised Fine-Tuning (SFT)?

  The top employers with active AI roles mentioning Supervised Fine-Tuning (SFT) are: Amazon (38), Capital One (16), OpenAI (10), Decagon (9), Adobe (8).

• Is demand for Supervised Fine-Tuning (SFT) growing?

  Over the last 12 weeks, 85 new AI postings mentioned Supervised Fine-Tuning (SFT). Demand is rising — up 76% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Supervised Fine-Tuning (SFT) used?

  Roles requiring Supervised Fine-Tuning (SFT) are concentrated in: post-training (46%), agents (27%), serving infrastructure (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Supervised Fine-Tuning (SFT)?

  Job postings that mention Supervised Fine-Tuning (SFT) most often also require: Machine Learning, Large Language Models (LLMs), Computer Architecture, Reinforcement Learning (RL), PyTorch.