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Flexible Data Encoder Jobs in Colorado (NOW HIRING)

$108K - $135K/yr

Experience implementing coding technology, encoder software, computer-assisted coding, AI-assisted ... Flexible Spending Accounts and Commuter Benefit Plans * Supplemental Voluntary Benefits ( e.g.

Showing results 21-26

Flexible Data Encoder information

What is the difference between Flexible Data Encoder vs Data Entry Clerk?

AspectFlexible Data EncoderData Entry Clerk
Required CredentialsBasic computer skills, sometimes certifications in data managementHigh school diploma, basic computer skills
Work EnvironmentOffice settings, remote options, data processing centersOffice environments, data input stations
Employer & Industry UsageBusinesses, healthcare, finance, government agenciesAdministrative offices, retail, healthcare
Common Search & ComparisonData management, flexible data input rolesData entry, clerical work

The main difference between a Flexible Data Encoder and a Data Entry Clerk lies in their scope and flexibility. Flexible Data Encoders often handle various data formats and may work remotely, with a focus on data management and processing. Data Entry Clerks typically focus on inputting data into systems within office settings. Both roles require basic computer skills, but Flexible Data Encoders may need additional knowledge of data management tools, making their role more adaptable and versatile.

What is a flexible data encoder?

Flexible Data Encoders are professionals responsible for entering, updating, and managing data in various formats across different platforms or databases. Their tasks often include transcribing information, verifying data accuracy, and ensuring data is categorized correctly for easy retrieval and analysis. The 'flexible' aspect refers to their ability to adapt to different data systems, project requirements, and sometimes remote or varied work schedules. These roles are essential in industries that rely on accurate data processing, such as healthcare, finance, and e-commerce.

What skills and qualifications are needed to thrive as a flexible data encoder?

To thrive as a Flexible Data Encoder, you need strong attention to detail, accuracy, and proficiency in typing, often backed by a high school diploma or equivalent. Familiarity with data entry software, spreadsheet programs like Microsoft Excel, and sometimes database management systems is typically required. Excellent time management, adaptability, and effective communication are soft skills that set top performers apart. These abilities ensure data integrity, efficient workflow, and the ability to meet tight deadlines in dynamic work environments.

What challenges does a flexible data encoder face when managing multiple data sources and formats?

Flexible Data Encoders often work with a variety of data types and sources, which can present challenges such as ensuring data consistency, accuracy, and timely entry across different platforms. Adapting quickly to new software or data input standards is also common, as clients or projects may require unique formatting or validation rules. Successful candidates should be comfortable juggling multiple tasks, troubleshooting discrepancies, and communicating effectively with team members or supervisors to resolve issues promptly.
What are the most commonly searched types of Data Encoder jobs in Colorado? The most popular types of Data Encoder jobs in Colorado are:
What are popular job titles related to Flexible Data Encoder jobs in Colorado? For Flexible Data Encoder jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Flexible Data Encoder jobs? Cities in Colorado with the most Flexible Data Encoder job openings:
Infographic showing various Flexible Data Encoder job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Staff AI/ML Engineer (Large Language Model) (TS/SCI) {S}

ARKA Group

Aurora, CO โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
The Staff AI/ML Engineer (LLMs) will lead the development of Agentic AI capabilities and other LLM based capabilities for a multitude of mission management applications.
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
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
  • Lead and mentor a multidisciplinary team delivering advanced AI/ML solutions
  • Apply LLMs to complex domain-specific problems and operational workflows
  • Adapt and fine-tune foundation models for specialized use cases
  • Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures
  • Build production-grade LLM applications and agentic systems
  • Deploy scalable AI solutions across cloud, on-prem, and hybrid environments
  • Analyze large, multi-modal datasets to extract meaningful features and actionable insights
  • Translate emerging research into applied, mission-relevant capabilities
  • Communicate technical strategy, status, and risks to internal and external leadership

Required Qualifications:
  • B.S. in machine learning, computer science, mathematics, or related fields
  • 8+ 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, pgvector)
    • Using LLM Frameworks (e.g. LangChain, DSPy, Microsoft Agent Framework)
    • 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. NumPy, Pandas, Polars, scikit-learn, etc.)
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:
  • M.S. 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:
    • Large Language Models and experience identifying ways to incorporate them into new domains and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Natural Language Processing algorithms such as BERT
    • Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, 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 GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
    • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
    • Experience with Linux
    • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
    • 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 in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience shaping and writing proposals
  • Adjudicated Counter Intelligence or Full Scope Polygraph

Pay Range: $150,000 - $200,000
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
The application window will close in 60 days for this position.
Location: Aurora, CO
Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.