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Data Annotation Tech Jobs in Littleton, CO (NOW HIRING)

Computer Vision II

Centennial, CO · On-site

$105K - $145K/yr

Experience with data annotation and management for training computer vision models. * Knowledge of ... We deliver mission-proven technologies to our customers that safeguard our nation, protect space ...

Computer Vision II

Centennial, CO · On-site

$105K - $145K/yr

Experience with data annotation and management for training computer vision models. * Knowledge of ... We deliver mission-proven technologies to our customers that safeguard our nation, protect space ...

GIS Administrator

Englewood, CO · On-site

$85K - $115K/yr

Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Field Software, Symbology ... Participate in UDC mentor program to stay current on evolving technology and participate in the UDC ...

Software Developer

Englewood, CO · On-site

$75K - $95K/yr

... technology and participate in the UDC development community What we look for from you · Bachelor ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

Data Annotation Tech information

See Littleton, CO salary details

$12

$22

$34

How much do data annotation tech jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data annotation tech in Littleton, CO is $22.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $27.21 per hour, depending on experience, location, and employer.

How to become a data annotation tech?

To become a data annotation tech, you typically need a high school diploma or equivalent, strong attention to detail, and familiarity with data labeling tools or software. Some roles may require basic knowledge of machine learning concepts or specific platforms like Labelbox or CVAT. Gaining experience through online courses or tutorials can also improve job prospects.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Does data annotation actually pay you?

Data annotation jobs typically pay hourly or per task, with rates varying depending on the platform and complexity of the work. Many companies and platforms offer remote opportunities that provide consistent payment once tasks are completed, often requiring basic skills in data labeling tools. Payment is generally reliable for those who meet quality standards and adhere to deadlines.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

How much do data annotation technicians make?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are entry-level and may offer flexible schedules or remote work opportunities.
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What cities near Littleton, CO are hiring for Data Annotation Tech jobs? Cities near Littleton, CO with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Littleton, CO as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $47,592 per year, or $22.9 per hour.

Computer Vision II

Sierra Space Corporation

Centennial, CO • On-site

$105K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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.