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Javascript Developer For Training Ai Data Jobs in Clarksburg, WV

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

This role is responsible for designing, developing, and maintaining enterprise database solutions ... JavaScript * Configuring and maintaining enterprise systems across: * Windows * Linux * Unix

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

This role is responsible for designing, developing, and maintaining enterprise database solutions ... JavaScript * Configuring and maintaining enterprise systems across: * Windows * Linux * Unix

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Javascript Developer For Training Ai Data information

See Clarksburg, WV salary details

$28.9K

$104.6K

$165.8K

How much do javascript developer for training ai data jobs pay per year?

As of Aug 26, 2026, the average yearly pay for javascript developer for training ai data in Clarksburg, WV is $104,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a Javascript developer for training AI data?

A Javascript Developer for Training AI Data is a software engineer who specializes in using Javascript to help build, annotate, or process datasets that are used to train artificial intelligence models. Their work may involve developing data labeling tools, writing scripts to clean and preprocess data, or building user interfaces that facilitate the collection of high-quality training data. They play a crucial role in ensuring that AI systems receive the accurate and well-structured information they need to learn effectively. This position often requires a strong knowledge of Javascript, data handling, and sometimes an understanding of machine learning concepts.

What are some common challenges faced by JavaScript developers working on AI data training projects?

JavaScript Developers involved in AI data training often encounter challenges such as ensuring data quality and consistency, managing large datasets, and effectively collaborating with data scientists and machine learning engineers. The role may require a deep understanding of data preprocessing, annotation tools, and integrating APIs to streamline data workflows. Additionally, working in this space often involves staying up to date with the latest AI frameworks and adapting to rapidly evolving project requirements, which can be both demanding and rewarding.

What are the key skills and qualifications needed to thrive as a Javascript developer for training AI data, and why are they important?

To thrive as a Javascript Developer for Training AI Data, you need strong proficiency in JavaScript, data manipulation, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Familiarity with frameworks like Node.js, data annotation tools, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for excelling in this role. These skills ensure accurate data preparation and robust integration of AI models, leading to effective training outcomes and project success.

What is the difference between Javascript Developer For Training Ai Data vs Javascript Developer?

AspectJavascript Developer For Training Ai DataJavascript Developer
Required SkillsJavaScript, AI/ML concepts, data annotation, training modelsJavaScript, front-end/back-end development, frameworks like React or Node.js
Work EnvironmentAI training labs, data annotation teams, machine learning projectsWeb development, application development, client/server environments
Industry UsageAI/ML companies, data training firms, research labsTech companies, startups, software agencies

Javascript Developer For Training Ai Data focuses on preparing data and training AI models using JavaScript, often involving data annotation and machine learning concepts. In contrast, a Javascript Developer primarily develops web applications and interfaces. While both roles require JavaScript skills, the former emphasizes AI training and data handling, whereas the latter centers on application development.

What are popular job titles related to Javascript Developer For Training Ai Data jobs in Clarksburg, WV?

For Javascript Developer For Training Ai Data jobs in Clarksburg, WV, the most frequently searched job titles are:

What cities near Clarksburg, WV are hiring for Javascript Developer For Training Ai Data jobs?

Cities near Clarksburg, WV with the most Javascript Developer For Training Ai Data job openings:

Javascript Developer For Training Ai Data jobs near you

Senior Data Architect

Clarksburg, WV • On-site

Data Intelligence LLC
Internet Websites and Web Search Portals • 11 - 50 employees
Learn more about Data Intelligence LLCexternal

$66 - $88.25/hr

Full-time

Re-posted 25 days ago

Job description

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for designing, developing, and maintaining enterprise database solutions, data processing systems, and data architecture that support the National Data Exchange (N-DEx) Data Science Environment and advanced analytics capabilities.
The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data management processes, and enabling secure information sharing across criminal justice systems. The ideal candidate possesses deep expertise in relational databases, data integration, scripting, cloud technologies, and enterprise data architecture within a highly secure federal environment. This position may be performed remotely or onsite in Clarksburg, West Virginia.
Key Responsibilities
  • Design, develop, and maintain enterprise database solutions supporting the N-DEx Data Science Environment and advanced analytics initiatives.
  • Develop, build, and maintain database utilities, scripts, and automation processes that improve system performance and operational efficiency.
  • Maintain, troubleshoot, and optimize enterprise databases by resolving synchronization issues, failures, access problems, and performance bottlenecks.
  • Automate routine and ad hoc reporting processes to improve reporting accuracy and operational efficiency.
  • Design, implement, and maintain tracking tools supporting enterprise projects, data integration initiatives, and data quality management.
  • Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics.
  • Design and maintain data processing pipelines and automation projects supporting enterprise information sharing.
  • Provide subject matter expertise in enterprise data architecture, database design, and available data assets.
  • Monitor and maintain database health through optimization, storage management, data purging, and performance tuning.
  • Support and maintain the N-DEx Data Science Environment while enabling advanced analytics that identify systemic data quality issues resulting from policy, process, or technical changes.
  • Develop and maintain tools, models, and automation solutions that leverage modern data technologies and data science methodologies to generate actionable technical and business insights.
  • Develop, maintain, and update technical documentation, including:
    • Standard Operating Procedures (SOPs)
    • Technical documentation
    • Process workflows
    • White papers
    • Status reports
    • Dashboards
    • Program reports
  • Track project milestones, deliverables, and operational metrics while providing recurring reporting and updates to leadership.
  • Operate within the FBI CJIS Division's Scaled Agile Framework (SAFe) environment and actively participate in Agile Release Train (ART) activities.

Required Qualifications
Education
  • Bachelor of Science degree in Computer Science, Data Science, Information Systems, Software Engineering, Database Administration, Information Technology, or a related technical discipline.

Required Experience
Candidates must demonstrate experience in the following areas:
  • Enterprise database architecture, administration, and optimization.
  • Designing and maintaining database utilities, automation scripts, and performance enhancement solutions.
  • Database troubleshooting, synchronization, performance tuning, storage optimization, and data lifecycle management.
  • Data ingest, processing, transformation, and enterprise data integration.
  • Developing automated reporting solutions and enterprise data quality tracking tools.
  • Managing Virtual Machines (VMs) and Virtual Desktop Infrastructure (VDI) within cloud environments, including:
    • Amazon Web Services (AWS)
    • Microsoft Azure
  • Law enforcement data standards and Information Exchange Package Documentation (IEPD) specifications.
  • Software Procedural Languages (SPL), including:
    • PL/SQL
    • T-SQL
  • Software development using:
    • Java
    • Python
    • C#
    • C
    • .NET
  • Database platforms, including one or more of the following:
    • Microsoft Access
    • PostgreSQL
    • MySQL
    • Sybase
    • Firebird
    • c-tree Advanced Concurrent Engine (ACE)
    • SQL Developer
    • Other relational database systems
  • XML technologies, including one or more of the following:
    • XML
    • XSLT
    • XSD
    • DTD
  • Data standards, validation methodologies, and data quality tools.
  • Maintaining and troubleshooting enterprise data connections.
  • Developing and troubleshooting software tools and utilities using:
    • Python
    • PHP
    • JavaScript
  • Configuring and maintaining enterprise systems across:
    • Windows
    • Linux
    • Unix
  • Microsoft technologies, including one or more of the following:
    • Visual Basic for Applications (VBA)
    • Microsoft Access
    • Microsoft Excel
    • Microsoft Visio
  • Creating, implementing, and maintaining enterprise tracking tools supporting data integration and data quality initiatives.
  • Maintaining and upgrading enterprise data storage infrastructure and deploying data analysis tools and processes.

Preferred Qualifications
  • Experience supporting federal law enforcement or criminal justice information systems.
  • Familiarity with FBI Criminal Justice Information Services (CJIS) environments.
  • Experience supporting enterprise data science, analytics, and large-scale data modernization initiatives.
  • Experience with enterprise data governance, data quality management, and information sharing programs.
  • Experience working within a SAFe Agile environment.

Security Clearance
  • Active Top Secret Clearance is required.
  • Candidates must be able to maintain the required security clearance throughout employment.

Why Join Data Intelligence, LLC?
At Data Intelligence, LLC, we are committed to delivering innovative technology solutions that strengthen national security and public safety. Our professionals partner with federal agencies to modernize enterprise data environments, enhance advanced analytics capabilities, and improve secure information sharing across the criminal justice community. We foster a collaborative, mission-driven culture that values technical excellence, innovation, integrity, and continuous professional development while supporting some of the nation's most critical law enforcement missions.

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