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Flexible Data Encoder Jobs in Washington (NOW HIRING)

Digital Remedy

Broadcast Engineer

Arlington, VA

... encoders, decoders, automation, news room computer systems, data networks, and broadcast ... Must be flexible to accommodate shift changes including extended hours, weekends, and evenings

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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 are Flexible Data Encoders?

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 are the key skills and qualifications needed to thrive as a Flexible Data Encoder, and why are they important?

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 are the typical challenges a Flexible Data Encoder faces 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 Washington? The most popular types of Data Encoder jobs in Washington are:
What are popular job titles related to Flexible Data Encoder jobs in Washington? For Flexible Data Encoder jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Flexible Data Encoder jobs in Washington look for? The top searched job categories for Flexible Data Encoder jobs in Washington are:
What cities in Washington are hiring for Flexible Data Encoder jobs? Cities in Washington with the most Flexible Data Encoder job openings:
Flexible Data Encoder jobs near you
Infographic showing various Flexible Data Encoder job openings in Washington as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

Artificial Intelligence/ Machine Learning Developer

Unissant

Ashburn, VA • On-site

$50.25 - $69/hr

Full-time

Posted 7 days ago

Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at .
We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.
Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.
Essential Duties and Responsibilities:
Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.
  • This is a client-facing position working on-site as per the requirements established by the DHS customer.
  • Develop, train, and deploy advanced AI/ML and Gen-AI models.
  • Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.
  • Optimize model performance, ensuring accuracy, efficiency, and scalability.
  • Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
  • Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
  • Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
  • This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Work Experience and Job Skills:
  • 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.
  • Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
  • Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)
  • Experience with machine learning and generative AI frameworks.
  • Experience with natural language processing techniques (e.g., text classification, language generation).
  • Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.
  • Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications
  • Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
  • Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.
  • An understanding and competency surrounding data storage, accesses, and loading.
    • Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.
    • ETL/ELT Concepts
    • Data warehouse concepts
    • SQL
  • Competency in data exploration, analytics, and feature engineering. (Python Specific)
    • Pandas / NumPy / Polars / PySpark
    • Plotly / Matplotlib (some form of data visualization)
    • Data encoding / normalizing / regularizing / etc.
  • Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.
  • Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.
  • Proficiency in NLP Tools SpaCy, ThinC, Gensim.
  • Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.
  • General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.
  • Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
  • Adaptability to changing priorities and a willingness to learn and grow are essential.
  • Excellent organizational skills, and ability to effectively manage concurrent projects.
  • Comprehensive problem-solving skills with exceptional attention to detail.
  • Ability to learn, evolve, think creatively and proactively.
  • Able to work under pressure (at times) and to be extremely flexible with changing priorities
  • Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.

Education:
  • Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.

Certificates, Licenses and Registrations:
  • This federal program requires the candidates to be a United States Citizen.
  • Must have an active DHS clearance.
  • Any related systems engineering, or related technical certifications are desired.
  • AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:
  • Must have excellent written and verbal communication skills
  • Ability to convey technical information to non-technical individuals.
  • Demonstrated experience communicating effectively across internal and external organizations.
  • Must work well in a matrixed team environment.

Travel:
  • On-site in Ashburn, VA

Environmental Requirements:
  • Mainly sedentary; in an office environment
  • May be required to lift up to ten (10) pounds
  • Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.
Please note: Candidate(s) will be required to go through pre-employment screening.
Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

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