ZipRecruiter

Log In

2

Hourly Remote Data Labeling Jobs in Colorado (NOW HIRING)

Jobsultant Solutions

Remote Data Analyst

Denver, CO · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis ...

Autodesk

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Truvani

Direct Response Copywriter - REMOTE

Denver, CO · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Denver, CO · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

LHH US

Remote Administrative Assistant

Denver, CO · Remote

$18.50/hr

... Managing data in the database -Managing customer communications -Processing reports -All other ... Hourly rate of $18.50 -Lee Hecht Harrison benefit offerings include medical, dental, vision, term ...

Standish Management

Associate

Denver, CO · On-site +1

$52K - $62K/yr

These responsibilities range from data entry into the client reporting software to compiling ... Employees can choose to be classified as "flex remote" or "flex office" *Compensation range: $52 ...

CPC

Drug Supply/Clinical Trial Supply Manager

Aurora, CO · Remote

$70K - $90K/yr

Facilitate the design, review, and approval of IP label text and proofs to meet specific country ... Proficiency in Microsoft applications (Word, Excel, PowerPoint, Outlook, etc.), Electronic Data ...

PNC Bank

Head of Sales, Linga

Arvada, CO · On-site +1

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

DC Group

Remote Sales Executive Denver, CO

Denver, CO · Remote

$55K - $75K/yr

... our namesake Data Centers. As a preferred vendor for some of the world's premiere property ... hourly, depending on experience (approximately $55,000-$75,000 annually) · Uncapped commission ...

DC Group

Remote Sales Executive Denver, CO

Denver, CO · On-site +1

$55K - $75K/yr

... our namesake Data Centers. As a preferred vendor for some of the world's premiere property ... hourly, depending on experience (approximately $55,000-$75,000 annually) • Uncapped commission ...

Workiva, Inc.

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 ...

next page

Showing results 1-20

All JobsHourly Data Labeling JobsHourly Remote Data Labeling JobsHourly Remote Data Labeling Jobs in Colorado

Hourly Remote Data Labeling information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Labeler, and why are they important?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Colorado? For Hourly Remote Data Labeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Colorado look for? The top searched job categories for Hourly Remote Data Labeling jobs in Colorado are:
What cities in Colorado are hiring for Hourly Remote Data Labeling jobs? Cities in Colorado with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Infographic showing various Hourly Remote Data Labeling job openings in Colorado as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution.

Remote Data Analyst

Jobsultant Solutions

Denver, CO • Remote

Contractor

Posted 9 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

Apply