Learning a scalar reward function — often from human or AI preference data — that scores LLM outputs during reinforcement-learning fine-tuning.
Primary AI lifecycle stage: post-training.
As of today, 31 active AI roles across 19 companies in our index reference Reward modeling. Hiring concentrates at the post-training (55%) and agents (26%) stages. Most common sectors: Big Tech, AI Frontier, Enterprise. New postings rose 36% in the last 30 days versus the prior 30 (11 → 15).
Learning a scalar reward function — often from human or AI preference data — that scores LLM outputs during reinforcement-learning fine-tuning. Primary AI lifecycle stage: post-training.
31 active AI roles across 19 companies in our index reference Reward modeling as of today. New postings rose 36% in the last 30 days versus the prior 30 (11 → 15).
The companies with the most active Reward modeling listings are: Amazon (9 roles), Adobe (2 roles), Cohere (2 roles), Deloitte (2 roles), OpenAI (2 roles).
Reward modeling primarily belongs to the post-training stage of the AI lifecycle. In current hiring, Reward modeling roles concentrate at: post-training (55%), agents (26%).
The sectors with the most active Reward modeling hiring are: Big Tech, AI Frontier, Enterprise.
2 AI roles tagged reward_modeling.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Deloitte | Research Engineer — Post-Training & Small Language Models (SLMs), Healthcare AI | Consulting | 9 | Fine-tuning · RL post-training · Model serving · Inference infra · Evals |
| Deloitte | Research Engineer — Post-Training & Small Language Models (SLMs), Healthcare AI | Consulting | 9 | Fine-tuning · RL post-training · Model serving · Inference infra · Evals |