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Remote Ai Governance Jobs in Indiana (NOW HIRING)

... governance and regulatory/legal compliance. * Provide ML data platform capabilities for AI/Data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Partner with governance teams to align architecture with data quality, privacy, security, access ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Develop technology strategies, governance frameworks, and transformation roadmaps * Manage project ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

$110K - $120K/yr

Improve continuous monitoring processes with automation and AI agents * Maintain process ... Ability to quickly grasp concepts and terminology in security domains including governance, risk ...

New

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Remote Ai Governance information

What is remote AI governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

What are some common challenges faced by professionals in remote AI governance roles, and how can they be addressed?

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

What are the key skills and qualifications needed to thrive as a remote AI governance professional, and why are they important?

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

How much do remote AI governance professionals make?

Remote AI governance professionals typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of the organization's AI systems. Senior roles or those with specialized skills in ethics, compliance, and policy may command higher salaries, especially in tech-focused industries.

How to get into remote AI governance?

To pursue a role in remote AI governance, candidates should develop expertise in AI ethics, policy, and compliance, often through degrees in computer science, law, or related fields. Gaining experience with AI tools, data management, and regulatory frameworks, along with strong communication skills, is essential for remote positions in this field.

Is remote AI governance a good career?

Remote AI governance involves overseeing the ethical and responsible use of artificial intelligence systems, often requiring skills in AI, policy, and compliance. It is a growing field with increasing demand for professionals who can ensure AI aligns with legal and ethical standards, offering opportunities in various industries and organizations. Success in this career typically depends on relevant expertise, certifications, and the ability to work independently in a remote environment.

What are the most commonly searched types of Ai Governance jobs in Indiana?

The most popular types of Ai Governance jobs in Indiana are:

What cities in Indiana are hiring for Remote Ai Governance jobs?

Cities in Indiana with the most Remote Ai Governance job openings:

Infographic showing various Remote Ai Governance job openings in Indiana as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution.

Staff Software Engineer, Data Platform

Circle

Boston, IN • On-site, Remote

Full-time

Re-posted 28 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

Here is our team hierarchy for individual contributors:

Senior Software Engineer (III)

Staff Software Engineer (IV)

Your team is responsible for:

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth.

You'll work on:

  • Design, build, and operate data platform services (warehousing, orchestration, and catalogs). Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.

  • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs, which include onchain data, internal system data, and partner data.

  • Be a domain expert in streaming processing, data pipelines, data warehousing and quality. Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.

  • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring.

  • Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

You'll bring to Circle:

Senior Software Engineer (III):

  • 4+ years of software engineering experience building data-intensive systems

  • Hands-on experience designing and operating scalable batch, micro-batch, or streaming data pipelines

  • Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.

  • Familiarity with data governance, lineage, and provenance concepts

  • Strong understanding of open-source data technologies and cloud-native data platforms

  • Ability to tackle complex and ambiguous problems.

  • Self-starter who takes ownership and enjoys moving at a fast pace.

  • Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

Nice to have:

  • Experience with with streaming frameworks such as Apache Flink or Google Cloud Dataflow

  • Experience with NoSQL databases such as Bigtable, Cassandra

Staff Software Engineer (IV):

Includes all the requirements of a Senior Software Engineer, and:

  • 7+ years in software engineering experience for large-scale and complex data systems

  • Proven technical leadership in architecture and system design, influencing designs across multiple teams

  • Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large-scale ingestion platforms

  • Ability to identify high-impact technical opportunities independently and drive them from concept to production

  • Strong experience in:

    • Data platforms integrated with downstream consumers, tools, and services

    • Data quality, validation, and observability mechanisms across pipelines

  • Comfortable making and defending long-term architectural tradeoffs in ambiguous environments

Nice to have:

  • Hands-on Experience taking an operational, data-intensive application from initial design to production (01), or scaling and operating it at production scale.

  • Experience developing real-time analytics or near-real-time decisioning systems

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $195,000-$257,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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