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Remote Labeling Jobs in Colorado (NOW HIRING)

Senior AI Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Remote, US (preferably in Mountain Time Zone) Employment Type:Full-Time Switchfly is hiring a ... We serve market-leading travel and financial clients through one white-label platform: a single ...

Lead Engineer (Azure)

Denver, CO · On-site +1

$98K - $132K/yr

Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for Cloud, security ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

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Remote Labeling information

See Colorado salary details

$10

$14

$17

How much do remote labeling jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote labeling in Colorado is $14.69, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $16.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote labeling, and why are they important?

To excel in a Remote Labeling role, you should have strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with labeling platforms, data annotation tools, and sometimes knowledge of specific data types (e.g., images, audio, or text) is highly beneficial. Strong time management, communication, and self-motivation are important soft skills for maintaining productivity when working independently. These skills ensure data integrity, meet quality standards, and support effective remote collaboration in a deadline-driven environment.

What is remote labeling?

A Remote Labeling job involves annotating or tagging data, such as images, text, audio, or video, to help train AI models. Labelers follow specific guidelines to categorize data accurately, ensuring machine learning algorithms can recognize patterns. These jobs are typically performed from home using specialized software. Common industries include artificial intelligence, autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, but attention to detail and consistency are essential.

What does a typical workday look like for someone in remote labeling?

A typical day in a Remote Labeling role involves reviewing and accurately tagging or annotating various data types, such as images, videos, or text, according to specific guidelines and project requirements. You’ll often interact with cloud-based labeling platforms, complete tasks or batches assigned by a project manager, and submit your work for quality review. Communication with supervisors or team members generally happens via email or team messaging platforms. The work is usually self-paced but deadline-driven, giving you flexibility as long as project goals are met. Successful Remote Labeling professionals stay organized and proactive to manage task volumes and maintain high standards of quality.

What are the most commonly searched types of Labeling jobs in Colorado? The most popular types of Labeling jobs in Colorado are:
What are popular job titles related to Remote Labeling jobs in Colorado? For Remote Labeling jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Labeling jobs? Cities in Colorado with the most Remote Labeling job openings:
Infographic showing various Remote Labeling job openings in Colorado as of July 2026, with employment types broken down into 48% Full Time, 28% Part Time, 8% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $30,549 per year, or $14.7 per hour.

Senior AI Product Manager

Workiva, Inc.

Denver, CO • On-site, Remote

$130K - $171K/yr

Other

Retirement

Re-posted 3 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 242 rated software companies


Job description

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption.

You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.

What You'll Do

Product Strategy & Vision

  • Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities

  • Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation

  • Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes

Product Lifecycle Management & Delivery

  • Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization

  • Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals

  • Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences

  • Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features

Technical Acumen & Collaboration

  • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures

  • Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions

  • Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure

Stakeholder Engagement & Go-to-Market

  • Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

  • Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process

  • Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders

What You'll Need

Minimum Qualifications

  • 6+ years of product management experience in software development or related field

  • Proven track record of successfully shipping products that have achieved market adoption and business impact

  • Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Preferred Qualifications

  • 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment

  • Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows

  • Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)

  • Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery

  • Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders

  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced environment and manage multiple priorities effectively

  • Master's degree preferred

  • Certifications in product management or AI/ML preferred

Working Conditions & Travel Requirements

  • Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations

  • Reliable internet connection required during remote work periods

How You'll Be Rewarded

Salary range in the US: $129,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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