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Ai Data Collection Jobs in Colorado (NOW HIRING)

Data Strategist

Denver, CO · On-site

$154K - $278K/yr

Ability to implement scalable target-state architecture that aligns data collection and retention ... Understanding at a high-level how to take an organization from legacy data management to ML/AI ...

Data Strategist

Colorado Springs, CO · On-site

$154K - $278K/yr

Ability to implement scalable target-state architecture that aligns data collection and retention ... Understanding at a high-level how to take an organization from legacy data management to ML/AI ...

Data Strategist

Aurora, CO · On-site

$154K - $278K/yr

Ability to implement scalable target-state architecture that aligns data collection and retention ... Understanding at a high-level how to take an organization from legacy data management to ML/AI ...

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

... best collection of data on mobile and fixed internet performance. As a data engineer you will be ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

... end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure. * Production Excellence: Architect and build scalable, multi-modal, and real-time AI ...

Showing results 41-60

Ai Data Collection information

See Colorado salary details

$16

$26

$33

How much do ai data collection jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai data collection in Colorado is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $27.31 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in AI data collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

What is an AI data collection?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

How to be an AI data collector?

To become an AI data collector, you should have strong attention to detail and basic computer skills, as the role involves gathering and labeling data for machine learning models. Familiarity with data annotation tools and understanding of data privacy standards are also beneficial. Typically, this job requires completing relevant training or tutorials and may involve flexible or remote work arrangements.

What are the key skills and qualifications needed to thrive in AI data collection, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

What are the most commonly searched types of Ai Data Collection jobs in Colorado? The most popular types of Ai Data Collection jobs in Colorado are:
What are popular job titles related to Ai Data Collection jobs in Colorado? For Ai Data Collection jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Ai Data Collection job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $55,352 per year, or $26.6 per hour.

Senior Director, Talent Acquisition, NA

Vantage Data Centers

Denver, CO • Hybrid

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

About Vantage Data Centers


Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Position Overview

This position will be based hybrid at one of our approved Vantage locations (3 days in, 2 days out).


This role will lead the North America region. The Senior Director, Talent Acquisition is responsible for large-scale operational
excellence and alignment with global TA strategy. You will lead a talented team of Talent Acquisition Managers, oversee workforce planning and recruitingoperations at scale, and drive adoption of AI and analytics to optimize efficiency and performance. You will ensure globally consistent practices (80%) whileallowing regional/local adaptations (20%) as appropriate.

Essential Job Functions

Regional Leadership & Team Development

  • Lead Talent Acquisition Managers and their teams across the North America region.

  • Drive leadership development, succession planning, and team capability at scale through structured training, calibration, and recruiter

  • enablement programs.

  • Successfully host and run team meetings, 1:1s with direct reports, mid-year, and annual performance reviews.


Strategy, Execution & Operational Excellence:

  • Implement enterprise TA strategy across North America, while maintaining globally consistent practices.

  • Own operational performance, including capacity planning, goal setting, metrics, DEI outcomes, and candidate experience.

  • Optimize processes and technology adoption, including AI-enabled tools for sourcing, screening, and scheduling.

  • Oversee annual TA regional budget.

  • Responsible for the oversight of the North America TA team, augmented contract staff, technology vendors, and staffing vendors.

  • Serve as a player-coach, managing a REQ load for executive and senior leadership hiring.

  • Ensure recruiting practices align with employment law, pay transparency requirements, internal controls, and data privacy standards.


Global Collaboration & Influence:

  • Partner with other TA leadership team members and VP to ensure consistency and alignment across regions.

  • Serve as escalation point for complex, high-volume, or high-impact recruiting initiatives.

  • Collaborate in successful partnership with People & Culture, People Analytics, Compensation, FP&A, Legal, and Workday teams oncontinuous improvement initiatives.

  • Work strategically with FP&A and Workforce Planning teams to ensure hiring efforts are aligned to headcount planning.

  • Champion and drive successful adoption of global Vantage interview process.

Data, Insights & Reporting:

  • Monitor large-scale KPIs, translate data into actionable insights, and implement process improvements across teams.

  • Use AI and analytics to drive strategic decision-making and operational efficiency.

  • Deliver accurate progress reports to the North America Leadership Team and Executive Leadership Team on a weekly basis.

  • Validate data for all weekly reports, executive reports, people insights decks, and ad hoc requests.

  • Ensure data hygiene within Workday (ATS).

  • Provide market insights for existing, expanding, and new market evaluations.

Technology & Process Optimization:

  • Lead adoption and optimization of global recruiting systems, AI-enabled tools, and analytics for multi-region operations.

  • Identify inefficiencies and implement scalable workflow improvements consistent with global standards.

  • Partner with HRIS and enterprise TA leadership to ensure system performance, reporting integrity, and data quality.

  • Lead creative, innovative strategies to streamline and automate TA data collection efforts.

  • Adopt and implement ways to produce forward-looking insights to identify staffing risks and mitigate accordingly.


Continuous Improvement:

  • Drive initiatives to improve recruiter productivity, candidate experience, and operational efficiency across regions.

  • Collaborate with cross-region TA leaders to share best practices and implement enterprise-wide enhancements.

  • Use metrics and AI-enabled insights to identify and implement improvements at scale.

Job Requirements

  • 10+ years of Talent Acquisition experience, including leadership of multiple regions or a large-scale regional operation.

  • Experience leading large-scale teams, ideally with a mix of people leaders and individual contributors.

  • Strong strategic thinking, business acumen, and ability to influence executives.

  • Proven track record in scaling recruiting operations and implementing technology/AI solutions.

  • Strong global mindset and ability to align multiple regions while accommodating local nuances.

  • Proven ability to operate across multiple sites, markets, or a regional footprint, rather than a single-location model.

  • Demonstrated experience operating at scale, supporting highgrowth, complex, or geographically distributed organizations

  • Direct experience in the data center industry is preferred; however, candidates from adjacent or comparable industries are highly

  • valued

  • Possess exceptional knowledge in recruiting technology stack, AI, and ATS systems.


Physical Demands and Special Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential
functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle or feel objects; reach with
hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.


Additional Details

  • Salary Range: $185,000-215,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)

  • This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short andlong-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, andmany other additional voluntary benefits.

  • Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience andmay fall outside of the range shown.

We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.


Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.

Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Vantage Data Centers is an Equal Opportunity Employer

Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.