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Ai Alignment Jobs in Missouri (NOW HIRING)

Veeda AI

Internship - Veeda AI Scientist

California, MO · On-site

$120 - $180/hr

About US Veeda AI is building the next generation of multimodal foundation world models for ... Develop RLHF, DPO, reward modeling, and alignment techniques that give creators fine-grained ...

Veeda AI

Veeda AI Scientist

California, MO · On-site

$120 - $190/hr

About US Veeda AI is building the next generation of multimodal foundation world models for ... Develop RLHF, DPO, reward modeling, and alignment techniques that give creators fine-grained ...

Jobtailor

Director - AI Transformation

California, MO · On-site

$180 - $260/hr

* Driving enterprise-wide AI transformation initiatives * Leading cross-functional programs from ... Demonstrated success influencing senior leaders and driving cross-functional alignment * Ability to ...

Hubbell Incorporated

Manager, AI Platforms

Saint Louis, MO · On-site

$138K/yr

Lead the vendor platform relationship, including contract performance, escalation management, roadmap alignment, licensing, and ongoing commercial oversight. * Own the AI platform cost and license ...

Jobtailor

AI Legal Engineer

California, MO · On-site

$120 - $180/hr

Embed human-review checkpoints and audit mechanisms aligned with Firm governance, confidentiality ... Represent the AI Products & Adoption team in internal meetings, committees, and practice group ...

Jobtailor

AI Product Owner

California, MO · On-site

$120 - $170/hr

Drive responsible adoption and performance measurement through governance alignment, launch ... AI Automation Tools #J-18808-Ljbffr

Lightedge

Sr. AI Integration Engineer

Kansas City, MO

$101K - $136K/yr

Maintain and execute a backlog of high-value business-facing AI workflows and automations that align with Lightedge priorities across operations, support, sales, and other internal functions.

Pareto Inc.

AI Engagement Manager

California, MO · On-site

$100 - $130/hr

AI, we're on a mission to enable top talent around the world to participate in the development of ... Ensure strong requirements gathering, alignment on success metrics, and clear translation into ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI alignment specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What are popular job titles related to Ai Alignment jobs in Missouri?

For Ai Alignment jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Ai Alignment jobs in Missouri look for?

The top searched job categories for Ai Alignment jobs in Missouri are:

What cities in Missouri are hiring for Ai Alignment jobs?

Cities in Missouri with the most Ai Alignment job openings:

Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Missouri as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Director - Portfolio Product Strategy, AI Alignment

Jobtailor

California, MO • On-site

$180 - $270/hr

Other

Posted 20 days ago

Job description

Responsibilities
  • Serve as a portfolio-level orchestrator—ensuring that AI innovations and core platform services built across various operating units weave together into a coherent, world-class enterprise system.
  • Help the SVP translate high-level strategy into execution-ready alignment across multiple product lines.
  • Actively look across product teams to identify gaps and friction points in AI functionality, identity, security, data architecture, and platform APIs.
  • Lead product reviews and governance processes to surface and resolve ecosystem conflicts before they impact customers.
  • Build and maintain a living map of portfolio capabilities, overlaps, gaps, and interdependencies to ensure Salesforce moves as a unified AI platform.
  • Serve as a trusted advisor to product GMs and business unit product leaders on the portfolio-level implications of local roadmap decisions.
  • Apply program management rigor to keep matrixed alignment workstreams and stakeholder commitments on track.
  • Partner with leadership to prepare portfolio coherence and AI strategy materials for executive and board-level planning conversations.
  • Conduct structured capability gap assessments against market shifts and competitive AI benchmarks.
  • Identify and prioritize acquisition or partnership targets that can accelerate horizontal AI and platform capabilities.
  • Lead the product-side due diligence on inbound and outbound M&A targets, ensuring seamless integration potential.
Requirements
  • 10–15 years of total professional experience in product management, product strategy, or a closely related horizontal leadership function.
  • A proven track record that blends startup agility with large enterprise scale.
  • Proven experience driving product alignment and strategy across multiple teams and products within an enterprise organization.
  • Thrived in a fast-growing, rapidly evolving technology company where change is the only constant.
  • Deep familiarity with massive platform ecosystems (e.g., AWS, Azure, GCP, Salesforce, ServiceNow).
  • Strong technical fluency in AI/ML workflows, identity, and security product domains.
  • Exceptional ability to build trust, bridge silos, and win hearts and minds across matrixed organizations.
  • Experience helping to build "0-to-1" teams, processes, or frameworks where the playbook hasn't been written yet.
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