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Remote Data Conversion Jobs in Virginia (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Design and maintain data conversion and ETL pipelines to prepare customer data for model training

Trilogy Federal

Wave Test Lead

Arlington, VA · On-site +1

$150K - $175K/yr

This position is remote but may require occasional domestic business trips to customer facilities ... and data conversion. * Oversee development of test scenarios and test scripts for each financial ...

Trilogy Federal

Wave Test Lead

Arlington, VA · Remote

$150K - $175K/yr

This position is remote but may require occasional domestic business trips to customer facilities ... and data conversion. * Oversee development of test scenarios and test scripts for each financial ...

Registrar Corp

Director, Growth Marketing

Hampton, VA · On-site +1

$140K - $160K/yr

Director, Growth Marketing Remote Full-Time Base: $140,000-$160,000 Join a mission-driven team that ... Partner with Sales to improve conversion rates, pipeline velocity, and revenue performance. Own ...

Registrar Corp

Director, Growth Marketing

Hampton, VA · Remote

$140K - $160K/yr

Director, Growth Marketing Remote | Full-Time | Base: $140,000-$160,000 Join a mission-driven team ... Partner with Sales to improve conversion rates, pipeline velocity, and revenue performance. Own ...

Polar IT Services

Azure Databrick Engineer

Richmond, VA · On-site +1

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Data Warehousing and Relational Database Design - Data warehouse design (facts/dimensions ...

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Remote Data Conversion information

What are the key skills and qualifications needed to thrive as a Remote Data Conversion Specialist, and why are they important?

To thrive as a Remote Data Conversion Specialist, you need strong analytical skills, attention to detail, and experience with data formats and database management—often supported by a degree in information technology or related fields. Familiarity with data conversion tools, ETL (Extract, Transform, Load) software, and spreadsheet or database systems like SQL is typically required. Excellent problem-solving abilities, time management, and clear communication skills help you efficiently resolve data inconsistencies and collaborate remotely. These skills ensure accurate, efficient data migration, which is crucial for maintaining data integrity and supporting business operations.

How can I make 2000 a week working from home?

Remote data conversion jobs can pay between $15 and $30 per hour, so earning $2000 weekly typically requires working around 67 hours at the higher end of this rate. To reach this income, strong attention to detail, proficiency with data tools, and consistent productivity are essential. Building a reputation and gaining experience can also lead to higher-paying opportunities or freelance projects.

How to make $1000 a week remote?

A remote data conversion specialist can earn $1000 or more weekly by completing high-volume projects, often requiring strong attention to detail and proficiency with data tools like Excel or specialized software. Building a reputation for accuracy and efficiency, along with consistent work and possibly multiple clients or platforms, can help achieve this income level.

Are Amazon data entry jobs real?

Amazon data entry jobs are legitimate positions that involve inputting and managing data using tools like spreadsheets and databases. These roles often require attention to detail and basic computer skills and are typically offered as remote or on-site opportunities. Job seekers should verify listings through official Amazon channels to avoid scams.

How to make $80,000 a year working from home?

A remote data conversion specialist can earn $80,000 annually by gaining strong data management skills, proficiency with relevant tools like Excel or specialized software, and maintaining consistent productivity. Building experience, obtaining certifications, and working for companies that offer competitive pay and remote roles are key factors in reaching this income level.

What are some common challenges faced in a remote data conversion role, and how can they be addressed?

One common challenge in remote data conversion is ensuring data accuracy while working independently, often with large and varied datasets. Maintaining consistent communication with team members and project managers is crucial to clarify data formats and address discrepancies. Utilizing standardized tools and adhering to strict data validation processes can help minimize errors. Additionally, remote collaboration tools and regular check-ins can support teamwork and help resolve technical issues more efficiently.

What are remote data conversion jobs?

Remote data conversion jobs involve transforming data from one format or system to another while working from a location outside of a traditional office. This can include converting paper documents into digital files, migrating data between software platforms, or cleaning and reformatting datasets for analysis. These roles typically require attention to detail, proficiency with data management tools, and strong computer skills. Remote data conversion professionals often work for companies needing to digitize records, update databases, or integrate new technology. The work can be project-based or ongoing, depending on the employer's needs.

What is the difference between Remote Data Conversion vs Remote Data Entry?

AspectRemote Data ConversionRemote Data Entry
Primary FocusTransforming data from one format to another, such as converting PDFs to ExcelInputting data into systems or databases accurately
Skills NeededData formatting, software proficiency, attention to detailTyping speed, accuracy, basic software skills
Work EnvironmentMostly independent, project-basedConsistent, repetitive tasks
Common CertificationsData management, software proficiencyNone typically required

Remote Data Conversion involves transforming data between formats, requiring technical skills and attention to detail. Remote Data Entry focuses on accurately inputting data into systems, often involving repetitive tasks. While both roles require accuracy, data conversion emphasizes technical transformation, whereas data entry emphasizes speed and precision in data input.

What are the most commonly searched types of Data Conversion jobs in Virginia? The most popular types of Data Conversion jobs in Virginia are:
What are popular job titles related to Remote Data Conversion jobs in Virginia? For Remote Data Conversion jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Conversion jobs in Virginia look for? The top searched job categories for Remote Data Conversion jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Conversion jobs? Cities in Virginia with the most Remote Data Conversion job openings:
Remote Data Conversion jobs near you
Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Re-posted 20 days ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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