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Manager Rlhf Jobs in Edison, NJ (NOW HIRING)

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge * Experience managing distributed contributor workforces at scale * Background in ...

AI Engineer

New York, NY · On-site

$200K - $400K/yr

Design strategies to manage latency, output variance, and graceful error handling at scale ... Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained ...

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Manager Rlhf information

See Edison, NJ salary details

$25.4K

$61.6K

$120.1K

How much do manager rlhf jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager rlhf in Edison, NJ is $61,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $70,900.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Rlhf jobs in Edison, NJ?

The most popular types of Rlhf jobs in Edison, NJ are:

What job categories do people searching Manager Rlhf jobs in Edison, NJ look for?

The top searched job categories for Manager Rlhf jobs in Edison, NJ are:

Infographic showing various Manager Rlhf job openings in Edison, NJ as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $61,623 per year, or $29.6 per hour.

Tech Lead Manager- MLRE, ML Systems

Scale AI

Manhattan, NY • On-site

Full-time

Re-posted 16 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

80th of 247 rated software companies


Job description

Job Summary:
Scale AI is a company focused on developing reliable AI systems for critical decisions. They are seeking a Tech Lead Manager for their ML Systems team to build and optimize a training and inference framework that supports machine learning research and development.
Responsibilities:
• Build, profile and optimize our training and inference framework.
• Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Research and integrate state-of-the-art technologies to optimize our ML system.
Qualifications:
Required:
• Passionate about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.
Preferred:
• Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

What Scale AI employees say

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