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User Operations Associate Content Moderation Jobs in Colorado

Tallgrass

AI System Developer III

Lakewood, CO · On-site

... mitigation, content moderation, adversarial input handling, and model output validation ... Create and maintain comprehensive technical documentation, runbooks, user guides, and API ...

SAIC

Senior UI Engineer

Colorado Springs, CO

$120K - $160K/yr

Work with data engineers to integrate data pipelines, analytics tools, and content delivery ... AWS Certified Developer - Associate or Azure Developer Associate for cloud expertise. * Certified ...

SAIC

Senior Cloud Native UI Engineer

Colorado Springs, CO · On-site

$120K - $160K/yr

Work with data engineers to integrate data pipelines, analytics tools, and content delivery ... AWS Certified Developer - Associate or Azure Developer Associate for cloud expertise. * Certified ...

MFCP INC

Marketing Specialist - Content

Littleton, CO · On-site

$29 - $35/hr

Collaborate with internal teams (marketing, sales, HR, category management, and operations) to ... Create and optimize landing pages and digital content to improve user experience and conversion.

bet365

Gaming CRM Ops Associate

Denver, CO · Hybrid

$50K - $60K/yr

As Gaming CRM Associate you willbe responsible for the day-to-day execution of CRM promotional ... Working knowledge of Content Management Systems, including Contentful, customer engagement ...

SAIC

Senior UI Engineer

Colorado Springs, CO · On-site

$120K - $160K/yr

Work with data engineers to integrate data pipelines, analytics tools, and content delivery ... AWS Certified Developer - Associate or Azure Developer Associate for cloud expertise. * Certified ...

LivaNova

Senior UI Designer

Denver, CO · On-site

$160K - $180K/yr

Define and scale UI operations establishing team best practices, design processes, and workflows ... Specific Responsibilities * Define information architecture: establish navigation, content ...

LINQ

Associate Client Success Manager

Denver, CO · On-site

That's why we help districts transform K-12 school operations with best-in-class, cloud-based ... Customer Community Moderation: Moderate and engage with the customer community through digital ...

Adecco

Operations Manager

Boulder, CO · On-site

$85.07/hr

... content design to architect user-centric information journeys, establish structured content ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

LINQ

Associate Client Success Manager

Denver, CO · Remote

$50K - $70K/yr

... content, to keep clients informed and engaged. * Renewals and Uplifts Ownership: Support the ... Customer Community Moderation: Moderate and engage with the customer community through digital ...

Bentley Systems

Manager, Event Operations

Arvada, CO · Hybrid

Partner with Experience Design and Programming & Content Operations teams to ensure creative ... Discover our latest user success stories for an insight into our global impact. #LI-CS1 #LI-REMOTE ...

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All JobsUser Operations Associate Content Moderation JobsUser Operations Associate Content Moderation Jobs in Colorado

User Operations Associate Content Moderation information

See Colorado salary details

$31.5K

$118.9K

$173K

How much do user operations associate content moderation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for user operations associate content moderation in Colorado is $118,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $161,900.00 per year, depending on experience, location, and employer.

What does a user operations associate in content moderation do?

A User Operations Associate in Content Moderation is responsible for reviewing user-generated content to ensure it complies with company guidelines and community standards. Their daily tasks may include monitoring posts, identifying and removing inappropriate or harmful material, and responding to user reports or appeals. They play a crucial role in maintaining a safe and positive online environment, often working with other teams to improve moderation policies and user experience. This position requires attention to detail, good judgment, and the ability to handle sensitive or distressing content.

What are the key skills and qualifications needed to thrive as a user operations associate in content moderation?

To thrive as a User Operations Associate in Content Moderation, you need strong analytical skills, attention to detail, and familiarity with content policies, usually supported by a bachelor's degree or relevant experience. Proficiency with moderation platforms, ticketing systems like Zendesk, and knowledge of content management tools are typically required. Excellent communication, resilience, and sound judgment are crucial soft skills for making fair decisions and handling sensitive material. These abilities ensure safe online environments, uphold community standards, and maintain platform integrity.

What are some common challenges faced by user operations associates in content moderation, and how can they be managed effectively?

User Operations Associates in Content Moderation often encounter challenges such as high volumes of user-generated content, exposure to sensitive material, and balancing enforcement of guidelines with user experience. Managing these challenges effectively involves staying up-to-date with platform policies, using available filtering and escalation tools, and practicing self-care to mitigate the impact of difficult content. Collaborating closely with team members and participating in regular training sessions can also help ensure consistent and accurate moderation decisions, while providing support for personal well-being.

What is the difference between User Operations Associate Content Moderation vs User Support Specialist?

AspectUser Operations Associate Content ModerationUser Support Specialist
Primary FocusMonitoring and moderating user-generated content to ensure community guidelines are followedAssisting users with account issues, inquiries, and technical support
Skills & CredentialsKnowledge of content policies, communication skills, attention to detailCustomer service skills, technical troubleshooting, communication skills
Work EnvironmentOnline platforms, moderation tools, often shift-basedCustomer support centers, help desks, remote or in-office
Industry UsageSocial media, online communities, gaming platformsTech companies, SaaS platforms, online services

While both roles involve supporting users, the User Operations Associate Content Moderation primarily focuses on monitoring and managing content to maintain community standards. In contrast, the User Support Specialist handles direct user inquiries and technical issues. Both roles require strong communication skills but differ in their core responsibilities and work environments.

What are popular job titles related to User Operations Associate Content Moderation jobs in Colorado?

For User Operations Associate Content Moderation jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching User Operations Associate Content Moderation jobs in Colorado look for?

The top searched job categories for User Operations Associate Content Moderation jobs in Colorado are:

What cities in Colorado are hiring for User Operations Associate Content Moderation jobs?

Cities in Colorado with the most User Operations Associate Content Moderation job openings:

User Operations Associate Content Moderation jobs near you
Infographic showing various User Operations Associate Content Moderation job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $118,929 per year, or $57.2 per hour.

AI System Developer III

Tallgrass

Lakewood, CO • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Job description


Primary purpose:
The AI System Developer III serves as a senior individual contributor responsible for the design, development, integration, and support of complex AI-enabled solutions, enterprise integrations, and advanced microservices. This role operates with a high degree of independence and contributes to solution design decisions, reusable architectural patterns, and the technical maturity of the AI Center of Excellence. The position emphasizes deep expertise across retrieval-augmented generation (RAG), multi-agent orchestration, and model fine-tuning, while accelerating enterprise delivery through AI-assisted development and mentoring of less experienced team members.
Responsibilities
Essential duties and responsibilities:
  • Design, implement, and optimize retrieval-augmented generation (RAG) solutions including vector store design, knowledge index management, chunking strategies, embedding model selection, and retrieval quality evaluation.
  • Contribute to the design and implementation of multi-agent systems, agentic call flows, and LLM fine-tuning and adaptation for domain-specific use cases; includes agent-to-agent communication patterns, tool use, memory management, training data preparation, and model evaluation.
  • Design, implement, and maintain complex AI system components including model serving APIs, advanced inference pipelines, and production-grade microservices.
  • Implement and optimize integrations between LLMs, AI services, and enterprise applications including internal portals, chatbots, and workflow automation platforms.
  • Apply and contribute to AI governance guardrails and security controls including data minimization, PII detection and redaction, prompt injection mitigation, content moderation, adversarial input handling, and model output validation; collaborate with Legal, Compliance, and Security to implement controls required for regulatory frameworks and internal policy adherence.
  • Translate complex business requirements into technical specifications, flow diagrams, solution designs, and implementation plans with minimal supervision.
  • Work with Data & Analytics to define, access, and prepare AI-ready datasets; ensure data quality, lineage, and appropriate transformations for model training and inference workloads.
  • Contribute to and improve CI/CD pipelines, containerization strategies (Docker/Kubernetes), model versioning, model registry practices, and MLflow workflows to support reliable and repeatable AI delivery.
  • Write and review unit, integration, and acceptance tests for AI components and APIs; contribute to evaluation framework improvements; participate in release planning, deployment verification, and post-deployment monitoring; troubleshoot complex production issues, perform root-cause analysis, and implement durable fixes or mitigations; provide on-call support as required.
  • Mentor Level I and Level II developers through code review and technical guidance; create and maintain technical documentation, runbooks, and API documentation; support business stakeholders with training and adoption playbooks; and contribute reusable patterns, templates, and components to the Center of Excellence knowledge base.
  • Create and maintain comprehensive technical documentation, runbooks, user guides, and API documentation for engineering and business audiences.
  • Perform all duties with tact, courtesy, and professionalism; work effectively across multi-disciplinary teams; maintain regular, dependable attendance and a high regard for personal safety, company assets, and the general public; and perform other duties as assigned.

Qualifications
Education:
  • Bachelor's degree from an accredited institution in Computer Science, Machine Learning, Data Science, Software Engineering, Information Systems, Business Management, or a related discipline. A Master's degree in Computer Science, Machine Learning, or a related field is preferred.
  • A minimum of seven (7) years of direct work experience in IT or a related discipline may be considered as a substitute for a degree.

Experience/Specific Knowledge:
  • Minimum of four (4) to five (5) years of overall IT experience.
  • Minimum of four (4) years of recent experience focusing on system development, support, implementation, and upgrades with demonstrated AI/ML components.
  • Minimum of four (4) years of development experience in modern software engineering languages and environments; strong proficiency in Python and common ML/AI libraries and frameworks required.
  • Demonstrated hands-on experience deploying and optimizing LLMs (open-source or API-based) in production environments.
  • Demonstrated experience designing and implementing RAG solutions including vector store selection, embedding pipelines, and retrieval quality tuning.
  • Demonstrated experience designing and implementing agentic or multi-agent systems using orchestration libraries and frameworks.
  • Experience with model fine-tuning, instruction-tuning, or domain adaptation including training data preparation and evaluation.
  • Experience in the full product development life cycle including design contribution, development, testing, deployment, and post-production support.
  • Established SQL skills in MS SQL and/or Oracle databases and working knowledge of data engineering patterns.
  • Experience with reporting tools and the ability to develop and maintain operational and audit reports.
  • Experience in an application development environment using web frameworks, microservices, Microsoft .NET or equivalent technology.
  • Experience implementing AI security controls including PII handling, prompt injection defense, content moderation, and output validation.
  • Experience effectively communicating business and technical issues to both technical and non-technical audiences.
  • Experience managing multiple assignments with competing priorities with minimal supervision.
  • Advanced proficiency in MS Office applications including but not limited to Excel, Word, Access, PowerPoint, and Outlook.

Certifications, Licenses & Registrations:
  • Must possess and maintain a valid driver's license and a driving record satisfactory to the company and its insurers (for travel).
  • Application Developer certification(s) such as MCSD, OCP/M/E, CSD, or equivalent preferred. AI/ML certifications or advanced training from recognized vendors or community programs strongly preferred.

Competencies, Skills & Abilities:
  • Ability to work independently with minimal supervision and collaboratively in a team environment; share knowledge, mentor peers, and accept direction from management.
  • Ability to manage multiple tasks and competing priorities under strict deadlines; organize work and use time efficiently.
  • Deliver excellent customer service and maintain professional relationships across all levels of the organization.
  • Demonstrated ability to communicate clearly, both verbally and in writing, technical and systems requirements to both technical and non-technical stakeholders.
  • Ability to contribute to solution design discussions, evaluate technical trade-offs, and recommend practical approaches within the scope of assigned work.
  • Use analytical and technical understanding of complex AI systems to diagnose problems and identify efficient, practical solutions.
  • Demonstrated ability to mentor and provide constructive feedback to less experienced team members through code review and technical guidance.
  • Demonstrate strong attention to detail, reliability, and adherence to work schedules and policies.
  • Able to perform the essential functions of the position.

Physical Demands:
All the physical requirements listed below are those that may be necessary for an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made for individuals with disabilities to perform the essential functions.
  • Must be able to sit for prolonged periods of time.
  • The employee is regularly required to use hands to type, touch, handle, or feel. The employee is required to talk and hear. The employee is frequently required to stand and reach with hands and arms. The employee is occasionally required to walk and climb or balance. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.

Working Conditions:
  • Required to carry a cell phone and be available to respond during working and non-working hours.
  • The successful candidate will be required to clear a drug screen and a complete background check, including credit report for certain positions, after an offer has been extended and prior to being employed.

Supervisory Responsibility:
  • None. This role provides informal technical mentorship and peer code review but carries no formal supervisory or people management responsibility.

Preferred Education, Experience, Certifications, Competencies, Skills & Abilities:
Above the minimum requirements, not required but advantageous in this position:
  • Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Advanced hands-on experience with fine-tuning or instruction-tuning LLMs for domain-specific enterprise applications.
  • Experience with advanced multi-agent frameworks including agent memory architectures, tool-use patterns, and failure recovery strategies.
  • Experience with AI red teaming, adversarial testing, or formal AI security evaluation methodologies.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native ML services and pipelines.
  • Experience with advanced vector database configurations, hybrid search strategies, and RAG evaluation frameworks.
  • Experience with containerization and orchestration at scale or cloud-managed equivalents.
  • Contributions to open-source AI/ML projects, technical publications, or community knowledge sharing.

Compensation:
  • The annual salary range for this position will be $106,000-$131,000/yr.

Other responsibilities:
  • The above statements describe the general nature and level of work being performed. This position may perform other duties as assigned.

About Us
Tallgrass was named one of the Top Workplaces USA and highlighted in Colorado's Top Workplaces for the past seven consecutive years. Tallgrass is a leading energy infrastructure company focused on safely, reliably, and sustainably delivering the energy and services that power our nation and enable our quality of life.
At Tallgrass, we value our teams and strive to create an environment where employees feel respected, and their contributions are valued. We aim to support employees' physical, mental, and financial well-being through a comprehensive Total Rewards Program.
  • Industry competitive pay
  • Health insurance package options that include Flexible Spending & Health Savings Accounts
  • Infertility Coverage
  • Parental Leave
  • 401(k) with up to a 6% match that vests immediately plus an employer discretionary contribution of up to 4%
  • Wellness Programs and Mental Health Resources
  • Employer-paid life insurance, short-term disability, and long-term disability coverage
  • Critical Illness & Accident Insurance
  • Vacation, sick days, paid caregiver leave, volunteer and bereavement paid time off
  • Identity theft protection
  • Annual discretionary bonus
  • Generous Tuition Reimbursement Program
  • Company-paid holidays and floating holidays
  • Company vehicle (if applicable)
  • Employee discounts; vehicles, tires, cellular plans, and more
  • Networking and employee engagement events
  • Personal development to grow your career with us based on your strengths and interests

Application Deadline: Recruiting timelines vary by position; however, all Tallgrass positions accept applications for at least five business days from the posting date. This position is open and still accepting applications.
Compensation: Compensation ranges are provided in good faith based on what we anticipate when researching wages for this position at the state and national levels. We may ultimately pay more or less than the posted range. This salary range may also be modified in the future.
Notice to External Search Firms: Tallgrass does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Tallgrass property; therefore, Tallgrass will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Approved vendors may be invited to refer talent for specific positions at Tallgrass's request only. A fully executed agreement with Tallgrass must be in place and current in these cases.
EEO Statement: Tallgrass complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Tallgrass does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender Identity and expression, disability, veteran status, pregnancy status, or other status protected by law.

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