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Data Annotation Services Jobs in Colorado (NOW HIRING)

Sierra Space Corporation

Computer Vision II

Centennial, CO · On-site

$105K - $145K/yr

Experience with cloud platforms and services for deploying and scaling computer vision applications ... Experience with data annotation and management for training computer vision models. * Knowledge of ...

UDC

GIS Administrator

Englewood, CO · On-site

$85K - $115K/yr

UDC is seeking two GIS Administrators to join our GIS Services Practice! UDC clients require ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Field Software, Symbology ...

UDC

Software Developer

Englewood, CO · On-site

$75K - $95K/yr

Visual Studio, Visio · Web Services (REST/SOAP); XML; AJAX; IIS; HTML; CSS; Backbone.js ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

This commitment enables us to deliver personalized service and achieve the highest standards of ... creating data pipelines for training and testing, including annotation and evaluation tooling

All JobsData Annotation Services JobsData Annotation Services Jobs in Colorado

Data Annotation Services information

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

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

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

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

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

What cities in Colorado are hiring for Data Annotation Services jobs?

Cities in Colorado with the most Data Annotation Services job openings:

Data Annotation Services jobs near you

Computer Vision II

Sierra Space Corporation

Centennial, CO • On-site

$105K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Sierra Space Careers:

At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth.

Sierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond.

Our success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space.

We are mission-driven, and together, we are an extraordinary team.

About the RoleA Computer Vision Engineer II leverages advanced programming and machine-learning skills to create and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve problems. This role is crucial for the development and enhancement of RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites.
In this role, you will develop, implement, and optimize advanced computer vision algorithms and models to process and analyze visual data. You will lead the integration of computer vision solutions into satellite systems, collaborating closely with cross-functional teams to ensure seamless functionality. Conducting comprehensive testing and validation of computer vision systems will be a key responsibility, ensuring high performance, accuracy, and reliability. You will design and develop sophisticated AI software and hardware for satellite applications, focusing on scalability and robustness. Maintaining, improving, and refactoring existing computer vision systems and algorithms will be essential to enhance performance and functionality. Additionally, you will document code, processes, and methodologies comprehensively for future reference and team collaboration. Mentoring and guiding junior engineers will be a critical part of your role, providing technical support and fostering knowledge sharing. Staying updated with the latest advancements in computer vision and machine learning technologies, you will apply relevant innovations to current projects. You will participate in code reviews, providing constructive feedback to peers, and collaborate with product managers and stakeholders to define project requirements and deliverables, ensuring alignment with organizational goals.About You

Our mission is driven by an unyielding commitment to advancing space-based technology in service of our customers and safeguarding national security. We seek individuals who are passionate about innovating beyond boundaries and relentlessly pursuing solutions that protect, preserve and empower - to join us in this critical mission.

We're looking for team members who align with our values, mission and goals - while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.

Minimum Qualifications:

  • Requires Bachelor's degree in a related field (or equivalent work experience in lieu of degree).

  • Typically 2+ years of related experience.

  • Strong understanding of at least one programming language, and general knowledge of others.

  • Strong understanding of software development principles.

  • Ability to design, code, test, and debug complex software applications.

  • Experience with different software development methodologies such as Agile and Scrum/Kanban.

  • Ability to work independently and in a team.

  • Ability to write and maintain technical documentation.

  • The ability to obtain and maintain a U.S. Security Clearance is required.

Preferred Qualifications:

  • Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.

  • In-depth knowledge of machine learning algorithms and techniques.

  • Experience with satellite systems or aerospace applications.

  • Proven track record of successfully delivering computer vision projects from concept to deployment.

  • Strong problem-solving skills and attention to detail.

  • Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.

  • Experience with cloud platforms and services for deploying and scaling computer vision applications.

  • Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware.

  • Experience with data annotation and management for training computer vision models.

  • Knowledge of image processing techniques and tools.

Compensation:

Pay Range:

$105,534.00 - $145,109.25

Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education,experience, internal equity and market competitiveness.

IMPORTANT NOTICE:

This position requires the ability to obtain and maintain a U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Elevate Your Career

At Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations.


We also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, and more.

Sierra Space is an industry-leading space and defense technology company providing satellites, spacecraft, and enabling mission systems and components. We deliver mission-proven technologies to our customers that safeguard our nation, protect space-based assets and enable space exploration.

Application Deadline: This role will remain posted until a qualified pool of candidates is identified.

Please note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees.

Sierra Space Corporationis an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment withSierra Spaceor at any stage of the recruitment process, pleasecontact us.

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