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Remote Data Labeling Analyst Jobs in Colorado (NOW HIRING)

Works, as part of the call center and mostly by remote access, with customers to gather and analyze environmental data and records for completeness and accuracy in technical and procedural practices.

Financial Analyst

Denver, CO · On-site +1

$105K - $110K/yr

Proficiency in financial modeling and data analysis. * Communication and presentation skills ... This position is open for remote based candidates located outside of the Denver Metro Area

Revenue Analyst

Denver, CO · On-site +1

$60K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Finance Summary: The primary purpose of the ... Provide Data, Reporting, & Analysis to assist revenue managers in making Pricing Strategy ...

Release Analyst

Denver, CO · On-site +1

$65K - $75K/yr

... remote or hybrid environment * Close attention to detail, especially when handling financial data ... These tools analyze limited technical and contact information (such as IP address, device/browser ...

None Potential for Remote Work: ORA_HYBRID Description SAIC seeks an experienced Senior Logistics ... Data Requirements List (CDRL) Supportability Analysis Report, and verbally during monthly Supply ...

This position is remote and must be a US citizen due to the projects we work on. Why Tetra Tech: At ... Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ...

Actuarial Analyst I

Colorado Springs, CO · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Select and ensure quality of data used to perform trend analysis supports rate level indications ...

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Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Colorado? The most popular types of Data Labeling Analyst jobs in Colorado are:
What job categories do people searching Remote Data Labeling Analyst jobs in Colorado look for? The top searched job categories for Remote Data Labeling Analyst jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Labeling Analyst jobs? Cities in Colorado with the most Remote Data Labeling Analyst job openings:
Geospatial Analyst, Mid

Geospatial Analyst, Mid

Booz Allen Hamilton, Inc.

Colorado Springs, CO • On-site, Remote

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 18 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243655
Location:
Colorado Springs,CO,US
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Geospatial Analyst, Mid
The Opportunity:
With cloud-based tools, faster GPUs, and the explosion of connected devices, geospatial data has more potential than ever. A skilled analyst can turn that data into valuable or mission critical information. If that sounds like you, we have an opportunity for you to use your geospatial analysis skills to transform the United States Air Force (USAF).
As a geospatial analyst, you'll work with a team of analysts to extract meaning and context from facility surveys and LiDAR scans. Using resources like ArcGIS, Cyclone, and Revit, you'll find the patterns and connections to answer USAF needs. You'll also use your skills to leverage satellite, airborne, and terrestrial or handheld LiDAR remote sensing solutions, and help analyze survey data to assess meaning and potential intent. You'll develop data to geospatial solutions for space utilization. Your visualization skills will come in handy as you build datasets to ensure accurate real property allocations. We focus on growing as a team, so we'll share techniques, work through challenges, and develop workflows. This is an opportunity to strengthen your experience in data collection and processing while developing products to improve the USAF. Due to the nature of work performed within this facility, U.S. citizenship is required.
Join us. The world can't wait.
You Have:
  • Experience with ESRI and ArcGIS Desktop for building drawings and facilities
  • Ability to work with AutoCAD files and transfer them into geospatial data formats
  • Ability to conduct site or facility surveys
  • Ability to use software applications, including Microsoft Office products such as Outlook, PowerPoint, Excel, and Word
  • Ability to travel up to 25% of the time
  • HS diploma or GED

Nice If You Have:
  • Experience with CAD and Revit, for building drawings and facilities
  • Experience with Leica Cyclone 3D point cloud processing software
  • Experience with DoD clients, applying Air Force Manual (AFMAN) 32-1084, Facility Requirements, Air Force Instruction (AFI) 32-7062, and Comprehensive Planning
  • Knowledge of DoD installations, missions, organizations, and facility types, including Category Codes
  • Knowledge of AFI 32-1015, Integrated Installation Planning, DAFI 32-9005, and Real Property Accountability and Reporting
  • Bachelor's degree in Planning, Engineering, or Geography
  • AutoDesk or GISP Certification

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914