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Ai Mod Jobs (NOW HIRING)

AI Engineer

Denver, CO · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring an AI Engineer to own the secure infrastructure and delivery backbone beneath that platform, infrastructure-as-code, CI/CD, identity, and release automation. and to provide day-to-day ...

Position Summary We are seeking a technically skilled and analytically minded Technical Analyst to support Core Mod AI Transformation. This role will work closely with the Project Manager and cross ...

AI/ML Engineer

Chantilly, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer ...

We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you're joining a culture ...

Senior AI Security Engineer

Charlotte, NC

$111K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI Security Engineer helps design, implement, test, and operate the controls that keep enterprise AI systems safe, governed, and production ready. This role focuses on the security ...

Senior AI Security Engineer

Atlanta, GA · On-site

$110K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI Security Engineer helps design, implement, test, and operate the controls that keep enterprise AI systems safe, governed, and production ready. This role focuses on the security ...

Agentic AI and Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0234847 Agentic AI and Data Engineer The Opportunity: As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical ...

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients ...

Senior Staff Engineer, AI Governance

Foster City, CA · On-site

$64.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Governance (AIG) Engineering team is part of the Data and AI Platform (DAP) technology organization in Visa. The team's mission is to provide a Trustworthy AI - an engineering solution for Visa to ...

Senior Full Stack Engineer

Aventura, FL · On-site

$170K - $230K/yr

  • PTO

About Comp AI Comp AI is reimagining compliance. We're rebuilding a stack that has been manual for far too long, with AI agents designed to handle the busywork. We're one of the fastest growing ...

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Ai Mod information

How to become an AI content moderator?

To become an AI content moderator, candidates typically need strong communication skills, attention to detail, and familiarity with online platforms and content policies. Relevant experience in social media, customer service, or previous moderation roles can be beneficial, and some employers may require basic knowledge of AI tools or training in content guidelines. A high school diploma or equivalent is usually sufficient, with some roles offering on-the-job training.

How much do AI moderators make?

AI moderators typically earn between $12 and $20 per hour, depending on experience, location, and the platform they work for. Some roles may offer salaried positions or freelance opportunities with varying pay rates. Compensation can also include benefits such as flexible schedules and training in content moderation tools.

What cities are hiring for Ai Mod jobs?

Cities with the most Ai Mod job openings:

What states have the most Ai Mod jobs?

States with the most job openings for Ai Mod jobs include:

Infographic showing various Ai Mod job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Engineer

BlueAngle LLC

Denver, CO • On-site

$105K - $115K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

ABOUT THE ROLE

BlueAngle operates an Azure-based agentic operations platform and an internal Service Intelligence Platform that packages the firm's reusable capability modules. We are hiring an AI Engineer to own the secure infrastructure and delivery backbone beneath that platform, infrastructure-as-code, CI/CD, identity, and release automation. and to provide day-to-day technical mentorship to early-career engineers.

The role reports to the Platform & Technology Lead and works alongside the agentic engineering team. It exists to remove a single-point-of-bottleneck on the platform's secure, production-touching work and to let the team scale delivery without compromising governance.

SCOPE OF WORK

In scope. Azure infrastructure-as-code (Terraform) and workload provisioning; CI/CD pipeline engineering; identity and secrets (OIDC workload-identity federation, secret-store patterns, "zero long-lived keys"); the build-time pipeline that gates, packages, versions, and publishes the platform's reusable capability modules; integration server development; platform conventions, observability, and Architecture Decision Records.

Out of scope. Product roadmap and work-tracking ownership (held by the Lead); client-facing advisory delivery; authorship of capability-module content (enabled, not owned, by this role).

KEY RESPONSIBILITIES

  • Own and extend the IaC and CI/CD foundation across platform repositories to a consistent house standard - resource naming, tagging, identity federation, serverless stack, secret management, observability, and branch protection.
  • Provision new workloads end-to-end and bring them to a first secure deployment.
  • Author and review Terraform, pipeline workflows, and service code; uphold pull-request discipline and protected branch policy.
  • Design and operate the secrets-bearing and production-touching parts of the platform safely - federated credentials, release publishing, and key handling.
  • Build integration servers (including Model Context Protocol servers) and register them with the platform gateway.
  • Register platform components in the architecture catalog and keep specification, tracker, and repository in sync as the definition of done.
  • Author Architecture Decision Records for non-trivial decisions and shepherd them to acceptance.
  • Mentor and unblock early-career engineers; review their work and grow their scope over time.

CORE DELIVERABLES

Within the first engagement period, the role is expected to own and ship:

  • The Azure foundation and CI/CD for the capability-module publishing pipeline — provisioning, identity federation, and release automation.
  • Reusable build, review-gate, and publish workflows adopted by the platform's owning repositories.
  • A scheduled reconciliation service that converges the published capability set into the managed workspace, with secure credential handling and a documented rotation policy.
  • A steady cadence of reviewed integration servers delivered to the gateway.

REQUIRED QUALIFICATIONS

Essential

  • Strong Azure: identity (Entra app registrations), serverless compute, key/secret stores, storage; OIDC / workload identity federation.
  • Terraform (modules, remote state, multi-environment) and CI/CD pipeline engineering (reusable and composite workflows).
  • Proficiency in Python and TypeScript; comfortable with shell/PowerShell for operational sequences.
  • A security-first IaC mindset (least privilege, no long-lived secrets, auditable releases) and disciplined version-control practice.
  • Clear technical writing (decision records, runbooks) and the temperament to mentor.

Desirable

  • Experience with agentic platforms or LLM tooling; familiarity with the Model Context Protocol and the Anthropic Claude tooling ecosystem.
  • API management, data-platform, and application-observability exposure.
  • Managed-services or M&A-IT context.

WAYS OF WORKING & GOVERNANCE

The definition of done is a synchronized specification, work-tracker, and repository, plus passing quality gates and green CI. Non-trivial decisions are captured as accepted Architecture Decision Records before build. The role participates in a platform unblock/on call rotation as it forms.

ENGAGEMENT

  • Type: Full-time, ongoing (a 3–6 month contract-to-hire is also acceptable).
  • Location: Remote (US), hybrid optional.
  • Hours: Standard business hours.

SUCCESS CRITERIA - FIRST 90 DAYS

  • The capability-publishing pipeline's infrastructure and publish workflow are shipped and adopted by at least one owning repository.
  • The scheduled reconciliation service runs with secure credential handling and a documented rotation policy.
  • Early-career engineers' registration and packaging work reaches production without senior staff acting as a manual gate.
  • All delivered work passes the definition-of-done; key decisions are captured as accepted decision records.

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Professional development assistance
  • Vision insurance

Experience:

  • AI Models: 3 years (Required)
  • Azure: 3 years (Required)
  • Python & TypeScript: 2 years (Required)

Work Location: Remote Colorado