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Contract Ai Data Annotation Jobs in Colorado (NOW HIRING)

... contract management, procurement, or vendor management systems. Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Showing results 41-60

Contract Ai Data Annotation information

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What are the most commonly searched types of Ai Data Annotation jobs in Colorado?

The most popular types of Ai Data Annotation jobs in Colorado are:

What are popular job titles related to Contract Ai Data Annotation jobs in Colorado?

For Contract Ai Data Annotation jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Contract Ai Data Annotation jobs in Colorado look for?

The top searched job categories for Contract Ai Data Annotation jobs in Colorado are:

What cities in Colorado are hiring for Contract Ai Data Annotation jobs?

Cities in Colorado with the most Contract Ai Data Annotation job openings:

Infographic showing various Contract Ai Data Annotation job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI Product Owner

Prologis

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Job Title:

AI Product Owner

Company:

Prologis

A day in the life

The AI Product Owner helps turn AI opportunities into practical capabilities that improve digital experiences, customer self-service, support operations, vendor management, and enterprise workflows. This role connects business objectives with AI-enabled solutions by defining product outcomes, prioritizing use cases, managing delivery backlogs, and supporting adoption. They partner with business stakeholders, AI Automation Engineers, AI/ML Engineers, platform owners, and delivery teams from discovery through launch and continuous improvement. The role adds value by helping Prologis scale reusable AI patterns that reduce manual effort and create measurable customer, employee, and operational outcomes.

Key responsibilities include:

Identify, assess, and prioritize AI and automation opportunities across customer engagement, operational enablement, vendor management, procurement workflows, and enterprise technology processes.

Define product vision, scope, user needs, success metrics, adoption objectives, and measurable business outcomes for prioritized AI initiatives.

Develop business cases, value hypotheses, and prioritization criteria using customer impact, business value, feasibility, risk, effort, data readiness, adoption readiness, and strategic alignment.

Own prioritized product backlogs, including epics, user stories, acceptance criteria, dependencies, release priorities, and success measures.

Partner with AI Automation Engineers, AI/ML Engineers, platform teams, and delivery partners through discovery, prototyping, build, testing, launch, adoption, and continuous improvement.

Facilitate stakeholder workshops, workflow assessments, interviews, user research, and independent research to validate use cases, resolve tradeoffs, and translate insights into clear product requirements.

Drive responsible adoption and performance measurement through governance alignment, launch planning, training, documentation, communications, change management, and reporting on adoption, productivity, customer satisfaction, operational savings, cycle time, and ROI.

Building blocks for success

Required:

5+ years of experience in product management, product ownership, business analysis, digital strategy, process improvement, customer experience, or a related role.

Experience supporting cross-functional technology initiatives from discovery through launch, adoption, measurement, and continuous improvement.

Ability to translate business needs, customer pain points, operational workflows, and research insights into product requirements, user stories, acceptance criteria, success metrics, and measurable outcomes.

Experience using Agile delivery methods, backlog management, release planning, iterative delivery, and stakeholder feedback loops.

Ability to define OKRs and KPIs, validate value hypotheses, measure adoption, and track business outcomes for AI initiatives.

Ability to use SQL, Python, business intelligence tools, or similar data analysis tools to explore data.

Ability to independently create and iterate functional prototypes using AI-assisted development tools to support experimentation, business validation, and product discovery.

Experience working with technical teams to deliver digital products, workflow automation, enterprise applications, data-driven capabilities, or AI-enabled solutions.

Stakeholder management, facilitation, communication, analytical problem-solving, and change management skills.

Preferred:

Experience supporting customer-facing digital platforms, customer portals, authenticated experiences, customer self-service, or service operations workflows.

Experience with enterprise platforms such as CRM, Drupal CMS, DAM, service management, marketing technology, knowledge management, contract management, procurement, or vendor management systems.

Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process management, and automation technologies.

Experience applying AI solution patterns such as retrieval-augmented generation, text-to-SQL, semantic data models, AI agents, copilots, prompt libraries, human-in-the-loop workflows, guardrails, and evaluation frameworks.

Experience managing AI use-case portfolios, product roadmaps, investment prioritization, responsible AI practices, governance, privacy, security, model monitoring, or enterprise risk management.

Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range of: $166,000 - $228,000. Salary and whole compensation package (bonus target) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

San Francisco, California

Additional Locations:

Denver, Colorado

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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