What is Reward Modeling and how common is it in AI job postings?

Reward Modeling is a skill in the "ML Ops & Evaluation" category. It currently appears in 106 active AI roles across 32 companies in our index.

Which companies are hiring for Reward Modeling?

The top employers with active AI roles mentioning Reward Modeling are: Amazon (26), OpenAI (24), Anthropic (5), NVIDIA (4), Microsoft (4).

Is demand for Reward Modeling growing?

Over the last 12 weeks, 81 new AI postings mentioned Reward Modeling. Demand is rising — up 273% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Reward Modeling used?

Roles requiring Reward Modeling are concentrated in: agents (38%), post-training (34%), application (14%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Reward Modeling?

Job postings that mention Reward Modeling most often also require: Machine Learning, Reinforcement Learning (RL), LLM Evaluation & Grading, Large Language Models (LLMs), Agentic Systems.

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Reward Modeling

106 active AI roles across 32 companies mention Reward Modeling. Category: ML Ops & Evaluation.

Demand trend

New AI postings mentioning Reward Modeling per week — 81 total over 12 weeks.

Sector

All Big Tech · 35 AI Frontier · 32 Enterprise · 15 Semiconductors · 4 Robotics · 4 Data AI · 3 Consumer · 3 Vertical AI · 2 Defense · 2 Banking · 2 Multimodal · 1 Fintech · 1 Consulting · 1 Coding AI · 1

Function

All Engineering · 62 Research · 37 Product · 7

Status

All Active only

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37 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
OpenAI	Researcher, Context - Agent Post-Training	AI Frontier	10	L2
OpenAI	Researcher, Connectors - Agent Post-Training	AI Frontier	10	L2
OpenAI	Researcher, Computer Use - Agent Post-Training	AI Frontier	10	L2
OpenAI	Researcher, Interpretability	AI Frontier	10	L2
Anthropic	Research Engineer, Domain Scaling	AI Frontier	9	L0
CrowdStrike	Director, Model Post-Training and Agentic Research (Remote)	Enterprise	9	L2
OpenAI	Researcher, Agent Post-Training, Personality	AI Frontier	9	L2
Amazon	Applied Scientist, Selling Partner Support Engagement	Big Tech	9	L4
NVIDIA	Senior Quantum Applied Research Scientist, Calibration and Decoding	Semiconductors	9	L2
OpenAI	Researcher: Agent Post-Training, API & Power-Users	AI Frontier	9	L2
Anthropic	Research Scientist, Life Sciences	AI Frontier	9	L2
Snorkel AI	Research Scientist - Frontier Benchmarks	Data AI	9	L0
Autodesk	Principal AI Research Scientist Post-Training Alignment	Enterprise	9	L2
Autodesk	Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU	Enterprise	9	L2
OpenAI	Researcher, Artifacts - Agent Post-Training	AI Frontier	9	L2
Autodesk	Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)	Enterprise	9	L2
Amazon	Applied Scientist - Agentic AI, Amazon Fulfillment Technology	Big Tech	9	L4
Cognition	Research, Post-Training	Coding AI	9	L2
OpenAI	Researcher, Alignment Training	AI Frontier	9	L2
Anthropic	Research Engineer, RL Infrastructure (Knowledge Work)	AI Frontier	9	L5
OpenAI	Research Engineer/Scientist - Human Alignment, Consumer Devices	AI Frontier	9	L2
Microsoft	Principal Researcher - Artificial Specialized Intelligence - Microsoft Research	Big Tech	9	L1
Microsoft	Senior Researcher - Artificial Specialized Intelligence - Microsoft Research	Big Tech	9	L1
NVIDIA	Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026	Semiconductors	9	L2
Figma	AI Applied Scientist	Enterprise	9	L2
Microsoft	Senior Researcher - Artificial Specialized Intelligence, Microsoft Research	Big Tech	9	L2
Amazon	Sr Mgr, Applied Science, AWS Supply Chain	Big Tech	9	L4
Anthropic	Research Engineer / Scientist, Alignment Science	AI Frontier	9	L2
Unity	Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)	Enterprise	8	L6
Unity	Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)	Enterprise	8	L6

Frequently asked questions

What is Reward Modeling and how common is it in AI job postings?
Reward Modeling is a skill in the "ML Ops & Evaluation" category. It currently appears in 106 active AI roles across 32 companies in our index.
Which companies are hiring for Reward Modeling?
The top employers with active AI roles mentioning Reward Modeling are: Amazon (26), OpenAI (24), Anthropic (5), NVIDIA (4), Microsoft (4).
Is demand for Reward Modeling growing?
Over the last 12 weeks, 81 new AI postings mentioned Reward Modeling. Demand is rising — up 273% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Reward Modeling used?
Roles requiring Reward Modeling are concentrated in: agents (38%), post-training (34%), application (14%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Reward Modeling?
Job postings that mention Reward Modeling most often also require: Machine Learning, Reinforcement Learning (RL), LLM Evaluation & Grading, Large Language Models (LLMs), Agentic Systems.

Reward Modeling

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Reward Modeling

Top employers

Often paired with

Frequently asked questions