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Contract Content Tagging Jobs in Colorado (NOW HIRING)

BlueAngle LLC

AI Engineer

Denver, CO · On-site

$105K - $115K/yr

... module content (enabled, not owned, by this role). KEY RESPONSIBILITIES * Own and extend the IaC ... tagging, identity federation, serverless stack, secret management, observability, and branch ...

All JobsContract Content Tagging JobsContract Content Tagging Jobs in Colorado

Contract Content Tagging information

What is the difference between Contract Content Tagging vs Content Moderation?

AspectContract Content TaggingContent Moderation
Primary FocusLabeling and tagging content for data setsReviewing and managing user-generated content for compliance
Skills NeededAttention to detail, understanding of data annotation toolsCommunication skills, policy knowledge
Work EnvironmentRemote, data annotation platformsRemote or on-site, social media or platform companies
Industry UsageAI training, machine learning datasetsSocial media, online communities, platforms

Contract Content Tagging involves labeling data for AI training, while Content Moderation focuses on managing user content for compliance. Both roles require attention to detail but serve different purposes within digital content management.

What is contract content tagging?

Contract content tagging is the process of assigning descriptive labels or tags to specific sections, clauses, or terms within contracts. This helps organizations easily search, organize, and analyze large volumes of contract data. Tagging can be done manually or with the help of specialized software, and it is commonly used in legal, procurement, and compliance departments to improve contract management and risk assessment.

What are the main challenges faced by contract content tagging professionals, and how can they be addressed?

One of the main challenges in Contract Content Tagging is maintaining accuracy and consistency when categorizing large volumes of content within tight deadlines. Professionals often encounter ambiguous or nuanced material that requires careful judgment to apply the correct tags. To overcome these hurdles, it helps to familiarize yourself with detailed tagging guidelines, seek clarification when unsure, and utilize any available training resources. Regular communication with team leads and peers also ensures alignment and improves overall tagging quality.

What are the key skills and qualifications needed to thrive as a contract content tagging specialist, and why are they important?

To excel as a Contract Content Tagging Specialist, you need strong analytical skills, attention to detail, and familiarity with content management systems, typically supported by a bachelor's degree in a relevant field. Experience with tagging tools, metadata standards, and digital asset management systems is often required. Strong organizational skills, time management, and effective communication help you efficiently process large volumes of content and collaborate with team members. These competencies ensure accurate content classification, improved searchability, and streamlined digital workflows.

What cities in Colorado are hiring for Contract Content Tagging jobs?

Cities in Colorado with the most Contract Content Tagging job openings:

Contract Content Tagging jobs near you

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