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Data Encoder Jobs in Denver, CO (NOW HIRING)

InnovAge

Claims Processor II

Denver, CO · Remote

$17.50 - $22.25/hr

Monitor Smart Data claims activity and work rejected claims by making necessary adjustments to the ... Prior experience working with Plexis, Virtual Examiner, ABCT, Encoder Plus * Prior Audit experience ...

Regional Transportation District

Accounting Clerk

Denver, CO · On-site

$19.25 - $24.75/hr

Count, record data and process: *RTD Fare media products: Monthly Passes, Ticketbooks - DayPass ... SmartCard production & fulfillment through smart media encoders (SME), retail (RPOS) and ...

InnovAge

Claims Processor II

Denver, CO · On-site +1

$22.84 - $27.40/hr

Monitor Smart Data claims activity and work rejected claims by making necessary adjustments to the ... Prior experience working with Plexis, Virtual Examiner, ABCT, Encoder Plus * Prior Audit experience ...

Mountain Region Support

Inpatient Coder II

Centennial, CO · Remote

$27.86 - $47.28/hr

... for data retrieval, analysis, reimbursement and research. Codes and enters diagnostic and procedure codes into a designated coding and abstracting system utilizing the 3M encoder, as appropriate.

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Data Encoder information

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$9

$33

$73

How much do data encoder jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data encoder in Denver, CO is $33.05, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $62.26 per hour, depending on experience, location, and employer.

What is the work of data encoder?

A data encoder is responsible for inputting, updating, and maintaining data in computer systems or databases. They often use software tools like spreadsheets or database management systems and need attention to detail to ensure accuracy and data integrity.

Can I become an encoder with no experience?

Data encoder positions typically do not require prior experience, as training is often provided on the job. Basic skills in typing, attention to detail, and familiarity with data entry tools are helpful for starting in this role.

What is a Data Encoder job?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the key skills and qualifications needed to thrive in the Data Encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

Is data encoder work hard?

Data encoder jobs typically involve repetitive tasks such as entering and updating information into databases, which can be physically and mentally demanding over long periods. The work requires attention to detail, accuracy, and sometimes working under tight deadlines, but it generally does not involve strenuous physical activity.

What are the typical daily responsibilities of a Data Encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

How much is the salary of a data encoder?

The salary of a data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the industry. Entry-level positions may start lower, while experienced data encoders with specialized skills can earn higher wages.
What are the most commonly searched types of Data Encoder jobs in Denver, CO? The most popular types of Data Encoder jobs in Denver, CO are:
What are popular job titles related to Data Encoder jobs in Denver, CO? For Data Encoder jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Data Encoder jobs in Denver, CO look for? The top searched job categories for Data Encoder jobs in Denver, CO are:
Data Encoder jobs near you
Infographic showing various Data Encoder job openings in Denver, CO as of July 2026, with employment types broken down into 79% Full Time, 6% Temporary, and 15% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $68,754 per year, or $33.1 per hour.
Principal AI/ML Engineer (Large Language Model)

Principal AI/ML Engineer (Large Language Model)

CACI International, Inc.

Aurora, CO • On-site

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Job Title: Principal AI/ML Engineer (Large Language Model)
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 12/2/2026
The Opportunity:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
Responsibilities:
  • Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
  • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
  • Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
  • Build custom applications with LLM frameworks such as LangChain, DSPy
  • Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
  • Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
  • Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Interface with both internal and external leadership to communicate technical status

Qualifications:
Required:
  • Active TS/SCI Clearance
  • BS in machine learning, computer science, mathematics, or related fields.
  • 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
    • Fine-tuning foundational models
      • Steering Techniques (e.g Sparse auto encoders, representation tuning)
      • Building adapters to use foundational models (e.g. PEFT, llama factory)
    • Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
    • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
    • Using LLM Frameworks (e.g. LangChain, DSPy)
    • Using AI APIs ( e.g AWS Bedrock, OpenAI)
    • Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
    • Developing UIs with ReAct
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.

Desired:
  • MS or PhD in machine learning, computer science, mathematics, or related fields.
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following Computer Vision domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$114,600-$252,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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