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Flexible Remote Data Labelling Jobs in Colorado (NOW HIRING)

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

New

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Market Operations Research Analyst

Denver, CO · Remote

$101K - $119K/yr

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

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Flexible Remote Data Labelling information

What is the difference between Flexible Remote Data Labelling vs Data Annotation Specialist?

AspectFlexible Remote Data LabellingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification needed
Work EnvironmentRemote, flexible hoursRemote, may have more structured schedules
Industry UsageCommon in AI/ML data preparationUsed in AI/ML, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve model accuracy

Flexible Remote Data Labelling and Data Annotation Specialist roles both involve preparing data for AI and machine learning. The main difference lies in terminology and slight variations in job scope, but both are remote, entry-level positions focused on data labeling and annotation tasks.

What are popular job titles related to Flexible Remote Data Labelling jobs in Colorado? For Flexible Remote Data Labelling jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Flexible Remote Data Labelling jobs? Cities in Colorado with the most Flexible Remote Data Labelling job openings:
Infographic showing various Flexible Remote Data Labelling job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Product Data Analyst

Initio Capital

Denver, CO • Remote

Full-time

Posted yesterday

New


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Product Data Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.