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Remote Junior Python Developer Jobs in Norfolk, VA

DataAnnotation

DevSecOps Architect - AI Trainer

Suffolk, VA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

DevSecOps Architect - AI Trainer

Norfolk, VA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

DevSecOps Architect - AI Trainer

Hampton, VA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

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Showing results 1-20

All JobsRemote Junior Python Developer JobsRemote Junior Python Developer Jobs in Norfolk, VA

Remote Junior Python Developer information

See Norfolk, VA salary details

$23.2K

$86.1K

$133K

How much do remote junior python developer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote junior python developer in Norfolk, VA is $86,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $84,200.00 per year, depending on experience, location, and employer.

What are some common challenges Remote Junior Python Developers face when starting out, and how can they overcome them?

Remote Junior Python Developers often face challenges such as effective communication with teammates, managing time independently, and understanding existing codebases. To overcome these, it's important to proactively ask questions during team meetings, use collaboration tools like Slack or Jira, and regularly review documentation and code. Setting a daily routine and seeking mentorship or code reviews from more experienced developers can also help accelerate learning and integration into the team.

What are Remote Junior Python Developers?

Remote Junior Python Developers are entry-level programmers who specialize in using the Python programming language to build and maintain software applications while working from a location outside the traditional office environment. Their responsibilities often include writing clean code, debugging, collaborating with team members online, and learning from more experienced developers. They typically work under supervision and are expected to have a foundational understanding of Python as well as good communication skills for remote collaboration.

What are the key skills and qualifications needed to thrive as a Remote Junior Python Developer, and why are they important?

To thrive as a Remote Junior Python Developer, you need a solid grasp of Python programming, basic knowledge of software development principles, and typically a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, code editors such as VS Code, and experience with frameworks like Django or Flask are commonly required. Strong problem-solving abilities, self-motivation, and effective written communication help you stand out, especially when collaborating remotely. These skills and qualities are vital for delivering reliable code, working efficiently in distributed teams, and adapting to evolving project requirements.

What is the difference between Remote Junior Python Developer vs Remote Python Developer?

AspectRemote Junior Python DeveloperRemote Python Developer
Required Experience1-2 years2+ years
SkillsBasic Python, understanding of frameworksAdvanced Python, multiple frameworks, APIs
Work EnvironmentEntry-level projects, mentorshipIndependent tasks, complex projects
CertificationsOptional, beginner coursesRelevant certifications preferred

The main difference between a Remote Junior Python Developer and a Remote Python Developer lies in experience and skill level. Junior developers are typically newer to the field, working on foundational tasks under supervision, while Python Developers have more experience, handling complex projects independently. Both roles are common in remote work environments across tech companies, but the seniority and responsibilities differ significantly.

What are the most commonly searched types of Remote Python Developer jobs in Norfolk, VA? The most popular types of Remote Python Developer jobs in Norfolk, VA are:
What are popular job titles related to Remote Junior Python Developer jobs in Norfolk, VA? For Remote Junior Python Developer jobs in Norfolk, VA, the most frequently searched job titles are:
What cities near Norfolk, VA are hiring for Remote Junior Python Developer jobs? Cities near Norfolk, VA with the most Remote Junior Python Developer job openings:
Remote Junior Python Developer jobs near you
Infographic showing various Remote Junior Python Developer job openings in Norfolk, VA as of June 2026, with employment types broken down into 74% Full Time, 16% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,088 per year, or $41.4 per hour.
Distinguished AI/ML Engineering Lead

Distinguished AI/ML Engineering Lead

Frontier Technology Inc.

Chesapeake, VA • On-site, Remote

$99K - $131K/yr

Full-time

Posted 3 days ago

Job description

Overview
FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.
This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.
Responsibilities
  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.

Education/Qualifications
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

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