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Contract Ai Data Annotation Jobs in Reston, VA (NOW HIRING)

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech ...

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All JobsContract Ai Data Annotation JobsContract Ai Data Annotation Jobs in Reston, VA

Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Contract AI Data Annotation Specialist, and why are they important?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a Contract AI Data Annotation job?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What are popular job titles related to Contract Ai Data Annotation jobs in Reston, VA? For Contract Ai Data Annotation jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Contract Ai Data Annotation jobs in Reston, VA look for? The top searched job categories for Contract Ai Data Annotation jobs in Reston, VA are:
What cities near Reston, VA are hiring for Contract Ai Data Annotation jobs? Cities near Reston, VA with the most Contract Ai Data Annotation job openings:
Contract Ai Data Annotation jobs near you
Classified Infrastructure Systems Engineer

Classified Infrastructure Systems Engineer

Enabled Intelligence

Falls Church, VA • On-site

$180K - $220K/yr

Full-time

Re-posted 4 days ago

Job description

Classified Infrastructure Systems Engineer
Location: Falls Church, VA
Enabled Intelligence
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!
Classified Infrastructure Systems Engineer
The Classified Infrastructure Systems Engineer will provide on-site support to manage the Enabled Intelligence systems including desktops, physical servers, Kubernetes environments, and cloud-based platforms on both the unclassified and classified networks. This role includes close coordination with external Managed Service Providers, and requires deep knowledge and adherence to IT security policies.
Responsibilities
  • Ensure network security and data protection
  • Ensure compliance with industry/client regulations and standards
  • Complete recurring compliance activities required to maintain accreditation of classified networks
  • Manage Windows and Linux physical and virtual servers
  • Provision user accounts in accordance with security procedures
  • Maintain existing Kubernetes environments and ensure health of deployed applications
  • Provision and configure user workstations in support of onboarding new employees
  • Provide onsite deskside support for user issues
  • Develop and maintain baseline configurations for classified and unclassified desktops
  • Ensure desktop and server compliance with patch management policies
  • Coordinate with Managed Service Providers for system implementation of managed network components
  • Develop scripts and automations to minimize manual input of common tasks
  • Troubleshoot networking connectivity issues on all corporate networks
  • Support quarterly asset audits

Required Qualifications and Skills
  • Significant experience managing IT systems in SIPR, JWICS, and NIPR environments
  • Experience in managing compliance for connected classified networks
  • Ability to maintain on-prem CWAN, SCWAN, and stand-alone networks.
  • Experience in managing classified IT resources and networks supporting multiple DoD and IC client programs simultaneously
  • Ability to manage software ATO/SWaP submissions and processes
  • At least 3 years of experience managing Microsoft Windows Server operating systems
  • At least 3 years of experience managing Linux-based operating systems
  • Hands-on experience managing resources in Microsoft 365 environment
  • Experience deploying Kubernetes-based applications into Production
  • Active Top Secret Clearance (with eligibility to garner TS-SCI)
  • Ability to take initiative, ownership and problem solve in a dynamic environment
  • CompTIA Security+
  • Excellent problem solving and communication skills

Desired Qualifications and Skills
  • Hands-on experience with Rocky Linux
  • Technical proficiency with managed Windows desktops
  • Hands-on experience provisioning and managing workstations with Microsoft Intune and Autopilot
  • Hands-on experience managing firewall, switch, and router network devices
  • Hands-on experience supporting AWS environment
  • Active TS/SCI Clearance

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer
  • Ability to lift 25lbs and set up workstations including monitors, desktop computers and hardware

Clearance
  • Applicants selected will be subject to a standard background check and are required to hold an active TS clearance, with eligibility to obtain at TS-SCI.

Work Location
  • Enabled Intelligence office in Falls Church, VA with some travel to client offices in National Capital Region and St. Louis, MO.

Enabled Intelligence is an Equal Opportunity Employer

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