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What are the key skills and qualifications needed to thrive as an Hourly Remote Data Labeler, and why are they important?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What are popular job titles related to Hourly Remote Data Labeling jobs in Virginia? For Hourly Remote Data Labeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Virginia look for? The top searched job categories for Hourly Remote Data Labeling jobs in Virginia are:
What cities in Virginia are hiring for Hourly Remote Data Labeling jobs? Cities in Virginia with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Data Engineer / Database Engineer

Data Engineer / Database Engineer

CMHWorks, LLC

Purcellville, VA • Remote

$118.60K - $142.40K/yr

Other

Posted 15 days ago

Job description

Job SummaryLocation: 100% Remote - U.S. Time Zones ONLY

Commitment: Part-Time / Independent Contractor (1099)

Position Type: Hourly/Contractor Direct (No Agencies)

The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining and modeling.

DetailsPrimary Responsibilities:
  • Consult with Engineering Manager and Architect in System architecture, and approaches.
  • Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards.
  • Establish and implement standards and processes to ensure optimum performance of data storage services.
  • KPIs, targets, and tooling to measure data services and third-party service performance related to the application.
  • Documentation; including actual architecture of deployed services, logging, monitoring and support components, etc.
  • Identify and document design decision points, propose approaches, and communicate for review and clarification.
  • Establish and provide tooling for ETL processes to maintain data store performance.
  • Participate in the development of documentation.
  • Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues.
  • Ensuring adherence to application architecture, system standards, and practices.
  • Database performance testing.
  • And timely communication of identified issues to reduce potential cost risks.
  • Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals.
  • Assist in root cause analysis for identified performance issues.
  • Communicating key project data to team members and building cohesion among teams.
  • Developing and executing project plans and tasks as assigned.
General Responsibilities:
  • Provide Tier 3 Support for escalation from Operations, as assigned.
  • Engage Third-Party Service Providers as necessary to resolve systemic issues.
  • Document best practices, system standards, and standard operating procedures.
  • Developing and coordinating data services performance validation and testing methods.
  • Establish, document, and communicate initial approaches to new data service challenges.
  • Manage system utilization to KPIs including, analyzing performance data to effectively coordinate the adjustments to the database services.
  • Support Change Management Process through contribution in required Change Documentation and CAB Participation as Requested.
  • Work with other Tier 3 teams in the development, documentation and maintenance of the software development lifecycle.
  • Ensure implementation of components to provide effective monitoring of data services performance.
  • Maintain understanding of emerging technologies applicable to our current and planned products and services.
  • Proposing and implementing innovative solutions to meet our company's current and anticipated technical needs.
  • Play a key role in shaping the future of our solutions and services.
Education and Experience Required Qualifications:
  • Bachelor's degree in Computer Science or a related field
  • 2+ years experience in a network administration role
  • Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred
  • Previous experience with Cisco switches and routers preferred
  • MCSE certification a plus
  • CISSP, CCNA, or CCNP certification a plus
Other Qualifications:
  • Must have excellent communication and teamwork skills.
  • This role is fully remote; must have a reliable internet connection and a suitable workspace.
  • This role requires availability during standard business hours (Monday-Friday, [8:00 - 5:00]). You must be available to dedicate 20+ hours a week, when required, during these hours.
  • Must complete a skills assessment to qualify for the position.
  • Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls.

No agencies will be considered.

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