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Ai Alignment Jobs in Ohio (NOW HIRING)

You will be measured by your ability to direct AI coding agents effectively, create the scaffolding that keeps their work aligned, review their output with senior-level judgment, and ensure the ...

You will be measured by your ability to direct AI coding agents effectively, create the scaffolding that keeps their work aligned, review their output with senior-level judgment, and ensure the ...

You will be measured by your ability to direct AI coding agents effectively, create the scaffolding that keeps their work aligned, review their output with senior-level judgment, and ensure the ...

Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ...

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve ... alignment at every stage Own strategic campaigns, coordinating all activities and decisions ...

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Tool Implementation Support: Assist with the deployment and integration of AI tools, ensuring alignment with business needs and governance standards. * Team Collaboration: Collaborate with offshore ...

Tool Implementation Support: Assist with the deployment and integration of AI tools, ensuring alignment with business needs and governance standards. * Team Collaboration: Collaborate with offshore ...

Showing results 21-40

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 cities in Ohio are hiring for Ai Alignment jobs?

Cities in Ohio with the most Ai Alignment job openings:

Infographic showing various Ai Alignment job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Software Lead

First Student

Cincinnati, OH • On-site

Full-time

Re-posted 16 days ago


First Student rating

6.3

Company rating: 6.3 out of 10

Based on 318 frontline employees who took The Breakroom Quiz

44th of 77 rated education support services


Job description

First Student is North America's leading provider of student transportation, helping millions of students get to and from school safely each day. Our technology teams build and support the operational, safety, customer, and employee-facing systems behind that work, including our HALO platform.

AI is an area of active investment, and this role is part of how we are building practical, reliable, and governed AI-enabled capabilities for the business.

About the Role

This is not a traditional software engineering role, and "Lead" does not mean managing people. You will lead agent-driven software delivery: deciding what to build, decomposing work for AI coding agents, supervising their output, validating quality, and owning what ships.

You will not primarily be measured by writing code line-by-line. You will be measured by your ability to direct AI coding agents effectively, create the scaffolding that keeps their work aligned, review their output with senior-level judgment, and ensure the resulting software is reliable, maintainable, and production-ready.

When the solution itself is an AI agent - such as a routing assistant, dispatcher copilot, or parent communications agent - you will help design, build, evaluate, and operate it in production.

You will work primarily on net-new tools and agents, with some work in existing systems. You will build in our standard stack: React, React Native, and AWS. Many tools may touch student data, so FERPA and enterprise governance are part of the work. You will be a peer in a small AI pod and will help shape the AI governance and delivery practices we are building now.

How You'll Work

You will operate AI coding agents - such as Claude Code, Codex, Cursor, and successor tools - as a primary means of software production. Your value is not typing speed. It is the judgment to know what to build, how to constrain the agent's work, when the output is wrong, and how to prove the result is right.

A key part of the role is building the scaffolding around agent-driven development: project context, tests, architectural rules, file conventions, allowed dependencies, review checkpoints, and patterns that reduce drift over time.

A typical week may include:

  • Translating business problems into specifications, constraints, and implementation plans AI coding agents can execute.
  • Running agents in parallel, reviewing output, and integrating work into maintainable systems.
  • Designing tests, project context, architectural rules, and review checkpoints to keep agent output aligned.
  • Building evals, guardrails, and monitoring for AI-built and AI-embedded systems. Working with stakeholders, architecture, security, and AI governance to clarify requirements and manage risk.

Key Responsibilities

Lead agent-driven software delivery

  • Translate business problems into clear specifications, constraints, and implementation plans for AI coding agents.
  • Direct AI coding agents to design, build, test, and ship applications, workflows, and AI-enabled tools.
  • Decompose ambiguous requests into agent-executable work and validate that outputs meet business and technical requirements.
  • Run agents in parallel where useful; review, reconcile, and integrate their output.
  • Prototype rapidly to gather feedback and inform product direction.

Maintain quality, reliability, and architectural discipline

  • Design and maintain agent harnesses, including project context, architectural rules, file conventions, allowed dependencies, and review checkpoints.
  • Use test-driven practices to constrain agent output and catch drift early.
  • Ensure appropriate automated test coverage across unit, integration, end-to-end, and contract tests based on risk.
  • Review agent-produced code for correctness, security, maintainability, and architectural fit.
  • Enforce patterns that keep codebases maintainable as AI agents contribute to development.

Build and operate AI-enabled systems

  • Build solutions using design systems, tool use, APIs, function calling, RAG, DAG, MCP, context engineering, harness engineering and multi-agent workflows where appropriate.
  • Evaluate models and AI tools across providers based on cost, quality, latency, reliability, security, and fit for purpose.
  • Implement evals, monitoring, logging, and guardrails so AI systems are measurable and supportable.
  • Design for reliable and repeatable outputs where the business requires consistency.
  • Communicate technical concepts, tradeoffs, risks, and recommendations clearly to technical and non-technical stakeholders.
  • Partner with architecture, security, and AI governance to align solutions with enterprise standards.

Required Qualifications

  • Strong understanding of Product Management, UI/UX concepts, Business Analysis, Analytics and SDLCs
  • 5+ years of professional software engineering experience, including senior-level code review and architectural judgment.
  • Demonstrated experience using AI coding agents or AI-assisted development tools to ship production software beyond basic autocomplete or experimentation.
  • Ability to decompose business problems into clear technical specifications, implementation plans, tests, and review checkpoints.
  • Strong test-driven development and automated testing practices, including using tests to validate AI-generated or agent-produced code.
  • Practical experience building or operating LLM-based systems in production, including evaluation, monitoring, and handling non-deterministic behavior.
  • Experience working in enterprise environments with security, governance, data-handling, and production support constraints.
  • Strong written and verbal communication skills, including the ability to explain technical tradeoffs to technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.

Preferred Qualifications

  • Direct experience building in React, React Native, and AWS.
  • Experience with Product Management, UI/UX, Business Analysis, Analytics and SDLCs
  • Experience with AWS services relevant to AI workloads, such as Bedrock, Lambda, ECS/Fargate, API Gateway, S3, DynamoDB, RDS, or Step Functions.
  • Experience with agent frameworks, RAG, vector databases, embeddings, context engineering, tool use, or function-calling patterns.
  • Experience with LLM observability, evaluation, structured outputs, prompt optimization, guardrails, or deterministic-output patterns.
  • Experience with advanced testing practices such as contract testing, property-based testing, or mutation testing.
  • Experience with Snowflake, Power BI, geospatial, routing, logistics, transportation, or operations-focused software.
  • Experience applying AI within governed enterprise environments, including FERPA-relevant or similarly regulated data.
  • Relevant AWS, AI, cloud, or data certifications.

What Success Looks Like

At 6 months: You have shipped 2-3 production tools or agents through agent-driven development. You have established agent harness patterns, test-first practices, and review standards that the AI pod can reuse. Stakeholders trust your judgment on where AI can help, where it cannot, and what is required to use it responsibly.

At 12 months: You have a portfolio of AI-built and AI-embedded systems running reliably in production. The practices you helped shape are improving delivery speed, quality, and consistency across the team and are beginning to influence broader AI delivery practices across IT.

Working Style

This role requires initiative, judgment, and clear communication. You should be comfortable clarifying ambiguous objectives, making progress with limited direction, escalating risks early, building trust with stakeholders, and documenting the decisions behind your work.

Strong agent-driven engineering requires more discipline, not less. You will be expected to set clear constraints, verify output rigorously, and maintain ownership of the quality of what ships.


First for a reason:

At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer.


In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf.

Company Description

About us
An industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America.

Industry leader
We safely operate more than one third of all contracted school buses in North America.
Together our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon.
We operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces.

Innovation
We were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling.
Passionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route.

Awards & recognition
We won the Occupational Excellence Achievement Award from the National Safety Council two years in a row.
Dedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America.

Teamwork and trust
It takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners.

We’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience.

Our culture
We live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve.

Safety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives.
Learning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future.
Making a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day.
Careers for all – We’re an Equal Opportunity Employer and an Employer of Choice.
By consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference.


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