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Sig Track Remote Jobs in Virginia (NOW HIRING)

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Sig Track Remote information

What is the difference between Sig Track Remote vs Data Entry Clerk?

AspectSig Track RemoteData Entry Clerk
Required CredentialsHigh school diploma or equivalent, basic computer skillsHigh school diploma or equivalent, basic computer skills
Work EnvironmentRemote, home-basedOffice or remote, depending on employer
Industry UsageLegal, financial, and government sectors for document processingVarious industries for data input and management
Common Search IntentRemote legal document processing jobsData entry jobs from home or office

Sig Track Remote and Data Entry Clerk roles both involve data processing and require similar credentials. However, Sig Track Remote typically focuses on legal and government document verification, often in a remote setting, while Data Entry Clerks may work across various industries and environments. Understanding these differences helps job seekers find roles aligned with their skills and preferences.

What is a Sig Track Remote?

A Sig Track Remote job involves working from home to process and verify petition signatures for various campaigns and government entities. Workers review scanned images of signatures and compare them for accuracy, helping to ensure that petition submissions meet legal requirements. This role requires attention to detail, good computer skills, and often familiarity with voter registration processes. Most Sig Track positions are contract-based and pay per task completed, making them a flexible option for remote work. Applicants typically need to be U.S. residents and may need to pass a short test before starting.

What are the key skills and qualifications needed to thrive as a Sig Track Remote?

To thrive as a Sig Track Remote worker, you need strong attention to detail, fast and accurate data entry skills, and a reliable internet connection, often with previous experience in clerical or administrative roles. Familiarity with the SigTrack platform and basic proficiency with computers and common office software are typically expected. Excellent time management, self-motivation, and the ability to work independently make someone stand out in this position. These skills ensure the accurate and efficient processing of petition signatures, which is crucial for meeting project deadlines and maintaining data integrity.

What are some common challenges faced by Sig Track Remote workers, and how can they be addressed?

Sig Track Remote workers often encounter challenges such as maintaining consistent focus during repetitive data entry tasks, ensuring the accuracy of information transcribed from handwritten documents, and meeting productivity quotas. To address these, it's important to create a distraction-free workspace, take regular short breaks to reduce fatigue, and double-check entries for errors. Additionally, staying organized and utilizing any provided training resources can help improve efficiency and accuracy.
What are popular job titles related to Sig Track Remote jobs in Virginia? For Sig Track Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Sig Track Remote jobs in Virginia look for? The top searched job categories for Sig Track Remote jobs in Virginia are:
What cities in Virginia are hiring for Sig Track Remote jobs? Cities in Virginia with the most Sig Track Remote job openings:
Sig Track Remote jobs near you

Cloud/AI Engineer

Strategic Innovation Group LLC

Arlington, VA • Remote

$64.25 - $85.75/hr

Full-time

Dental, Vision, Life, Retirement

Re-posted 2 days ago

Job description

Strategic Innovation Group (SIG) is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and artificial intelligence solutions supporting Federal Aviation Administration (FAA) programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, developing production-grade AI applications, and implementing Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI solutions. The successful candidate will collaborate closely with government stakeholders, product teams, and engineering staff to deliver innovative, mission-critical technologies that improve operational efficiency, enable data-driven decision-making, and advance the FAA's digital transformation initiatives while meeting stringent security, compliance, and governance requirements.

SIG is a fast growing 8(a) government contractor based in Arlington, Virginia. We offer a broad range of technical expertise and experience in Digital Transformation, Data Management/Data Science, and Systems Modernization. At SIG, our people are our mission. Come join our team! A successful candidate will be offered the following:

Greatwork/life balance
Eligibilityforperformance-basedparticipationincashbonuses
Potential toparticipatein growth of the company through incentives
Excellent benefits,includinghealth, dental, vision,generousPTO, a 401(k) with match, life insurance, short- and long-term disability,anda health savings account (HSA)
Additionally, this position is expected to be generally remote, with occasional visits to the office and client facilities in the Washington, DC metropolitan area as needed.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions include, but are not limited to the following:

  • Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions supporting FAA mission objectives.
  • Collaborate with government stakeholders to translate business requirements into innovative, mission-focused technology solutions.
  • Lead the modernization of legacy systems and enterprise platforms through cloud transformation and application modernization initiatives.
  • Establish and promote architecture, engineering, security, and software development best practices across project teams.
  • Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile project delivery.
  • Ensure solutions meet federal security, governance, compliance, and operational requirements throughout the system lifecycle.
  • Develop and maintain technical documentation, architecture artifacts, and implementation plans to support operations and compliance.
  • Evaluate emerging technologies, resolve complex technical challenges, and recommend improvements that enhance performance, reliability, and mission outcomes.
  • Perform other duties as assigned.

REQUIRED EXPERIENCE/QUALIFICATIONS

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Cloud Engineer experience: 20+ years
  • AI Engineer experience: 3+ years
  • Experience delivering enterprise-scale technology solutions across public-sector and private-sector organizations, including highly ambiguous environments requiring problem discovery, requirements definition, and solution development.
  • Hands-on experience in cloud engineering, cloud-based application development, and full stack software engineering.
  • Proven track record designing, building, deploying, and operating production-grade applications spanning front-end interfaces, backend services, and cloud data platforms.
  • Experience migrating legacy on-premises systems to the cloud and refactoring monolithic legacy codebases into microservices architectures and cloud-native tooling, using Docker, Kubernetes, serverless services, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign, schema conversion, and validation of data integrity throughout the migration.
  • Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, and modern software development frameworks.
  • Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (e.g., Terraform, CloudFormation), and platform engineering principles to support scalable cloud delivery.
  • Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.
    Strong understanding of software engineering fundamentals, distributed systems, cloud architecture, and cloud application engineering best practices.
  • Demonstrated ability to architect secure, scalable, and resilient cloud systems with attention to governance, auditability, data protection, and access controls.
  • Hands-on experience developing and deploying Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, semantic search, and vector databases, integrated into cloud-native application architectures.
  • Experience managing the AI application lifecycle within cloud environments, including data ingestion, model integration, deployment, monitoring, observability, and continuous improvement using cloud-native MLOps tooling.
  • Proven ability to collaborate with business stakeholders, product teams, and technical leadership to translate business requirements into scalable technical solutions and AI-enabled products.
  • Experience delivering mission-critical applications in regulated, compliance-sensitive, or enterprise environments.
  • Strong analytical, problem-solving, and systems-thinking skills with the ability to identify operational challenges and develop technology solutions that deliver measurable business value.


PREFERRED EXPERIENCE/QUALIFICATIONS

  • Prior experience in federal contracting or highly regulated enterprise environments.
  • Active FAA clearance


SPECIAL REQUIREMENTS/SECURITY CLEARANCE

Must have ability to obtain a Public Trust clearance

Apply