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Manager Rlhf Jobs (NOW HIRING)

TSMC

Manager - Agentic AI Engineering Lead

Austin, TX · On-site

... RLHF, and multi-agent systems. • Proven track record managing multi-disciplinary teams in a fast-paced environment. • Excellent communication and presentation skills • Strong teamwork and ...

CodeRabbit

Senior Applied AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

... RLHF, and multi-step agentic reasoning into high-impact product workflows. You'll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure ... you manage your health and achieve your goals across many areas of your life. This includes a ...

CodeRabbit

Senior Applied AI Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... RLHF, and multi-step agentic reasoning into high-impact product workflows. You'll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real ...

Ursus, Inc.

Strategic Project Lead, DataFactory

... managing large-scale dataset generation or annotation for LLMs, ideally with experience in RLHF or SFT pipelines. • Strong understanding of quality review mechanisms including prompt win rate ...

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How much do manager rlhf jobs pay per year?

As of Sep 15, 2026, the average yearly pay for manager rlhf in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.
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Infographic showing various Manager Rlhf job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Manager, Data Science - AI Foundations

California, MO • On-site

Jobtailor
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Other

Posted 7 days ago

Job description

  • Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
  • Build and ship scalable architecture and AI/ML solutions for Capital One’s mobile app
  • Develop app features with dynamic and personalized customer experiences
  • Enable customers to interact with digital assistant Eno and search useful content
  • Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and other technologies to analyze numeric and textual data
  • Apply NLP and LLM expertise to adapt and fine-tune models for customer-facing applications
  • Build machine learning and NLP models through design, training, evaluation, and validation
  • Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
  • Translate complex technical work into tangible business goals
  • Research and evaluate emerging technologies and apply state-of-the-art methods
  • Lead talent development for the team and beyond
  • Influence cross-functional stakeholders and communicate findings to non-technical audiences
Requirements
  • Currently has, or is in the process of obtaining, a required degree with expected completion by the scheduled start date
  • Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, OR Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience performing data analytics, OR PhD in a quantitative field plus 1 year of experience performing data analytics
  • At least 1 year of experience leveraging open-source programming languages for large-scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases
  • Experience training language models or large computer vision models
  • Expertise in one or more of: training optimization, self-supervised learning, explainability, or RLHF
  • Track record of delivering models at scale in training data and inference volumes
  • Experience delivering libraries, platforms, or solution-level code to existing products
  • Hands-on experience with LLMs and solutions using open-source tools and cloud computing platforms
  • Preferred: PhD in a STEM field
  • Preferred: Experience working with AWS
  • Preferred: At least 4 years of experience in Python, Scala, or R
  • Preferred: At least 4 years of experience with machine learning
  • Preferred: At least 4 years of experience with SQL
  • Capital One will consider sponsoring a new qualified applicant for employment authorization
Core Competencies

Demonstrates expertise in building and operationalizing AI and machine learning solutions, with a strong focus on natural language processing and large language models. Proven ability to translate complex technical concepts into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords
  • Machine Learning Expertise
  • Natural Language Processing (NLP)
  • Experience with PyTorch
  • Proficiency in Python
  • Experience with AWS
ATS Optimization Keywords Hard Skills
  • Data Analytics
  • Model Training and Evaluation
  • Relational Databases
  • Large-Scale Data Analysis
  • Training Optimization
  • Self-Supervised Learning
  • Explainability
  • Reinforcement Learning from Human Feedback (RLHF)
  • SQL
  • Cloud Computing
Soft Skills
  • Cross-Functional Collaboration
  • Influencing Stakeholders
  • Communication Skills
  • Talent Development
Certifications & Qualifications
  • Bachelor's Degree in Quantitative Field
  • Master's Degree in Quantitative Field or MBA
  • PhD in Quantitative Field
Industry Keywords
  • AI-Powered Products
  • Customer Experience
  • Digital Assistant
  • Emerging Technologies
  • Scalable Architecture
Tools & Technologies
  • AWS Ultraclusters
  • Hugging Face
  • LangChain
  • Lightning
  • VectorDBs
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