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From Home Ai Data Labeling Jobs in Virginia (NOW HIRING)

Telus Digital

$168K - $210K/yr

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions ... Stay ahead of industry trends in AI training data, including emerging labeling methodologies ...

Impyrian

AI/Data Solutions Architect

Ashburn, VA · On-site

Able to operate confidently from high-level strategy down to detailed solution design. * Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator with ...

Impyrian

AI/Data Solutions Architect

Ashburn, VA

Able to operate confidently from high-level strategy down to detailed solution design. * Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator with ...

IMPYRIAN

AI/Data Solutions Architect

Ashburn, VA · On-site

$173K - $220K/yr

Able to operate confidently from high-level strategy down to detailed solution design. * Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator with ...

Deloitte

AI Data Engineer - Manager

Richmond, VA · On-site

Responsibilities : • Lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

Deloitte

AI Data Engineer - Manager

Mclean, VA · On-site

Responsibilities : • Lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

Guidehouse

AI & Data Cloud Architect

Mclean, VA · Hybrid

$64.50 - $83/hr

... data, and AI initiatives. This role provides hands-on technical leadership and architectural ... Correspondence received by an applicant from any other domain should be considered unauthorized and ...

Guidehouse

AI & Data Cloud Architect

Mclean, VA · On-site

$64.50 - $83/hr

... data, and AI initiatives. This role provides hands-on technical leadership and architectural ... Correspondence received by an applicant from any other domain should be considered unauthorized and ...

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From Home Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a From Home AI Data Labeling specialist, and why are they important?

To thrive as a From Home AI Data Labeling specialist, you need keen attention to detail, basic computer literacy, and the ability to follow complex instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming or data handling systems is beneficial. Strong time management, self-motivation, and effective written communication help individuals excel when working independently. These skills ensure the accuracy and consistency of labeled data, which is critical for training reliable AI models.

What are some common challenges faced by remote AI Data Labelers, and how can they be managed?

Remote AI Data Labelers often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring consistent data quality across assignments. To address these, it's important to establish a structured daily routine, take regular breaks to avoid fatigue, and use quality guidelines provided by employers. Staying connected with team members through chat platforms can also help clarify doubts quickly and maintain a sense of teamwork, even when working from home.

What is from home AI data labeling?

From home AI data labeling is a remote job where individuals tag, categorize, or annotate data—such as images, text, or audio—to help train artificial intelligence systems. These tasks are essential for improving machine learning algorithms, as accurate labeled data allows AI models to learn and make better predictions. Data labelers can work on a variety of projects, including identifying objects in photos, transcribing audio, or organizing text according to guidelines. Most positions are freelance or contract-based, offering flexible work hours and the ability to work from anywhere with a computer and internet connection.

What is the difference between From Home Ai Data Labeling vs From Home Data Annotation?

AspectFrom Home Ai Data LabelingFrom Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI and machine learning companiesAI, machine learning, and data companies
Job FocusLabeling data for AI trainingAnnotating data for AI and ML models

From Home Ai Data Labeling and From Home Data Annotation are similar roles involving remote work and data preparation for AI. Data labeling typically emphasizes categorizing data, while data annotation may include more detailed marking. Both require basic skills and are used in AI industries, but labeling is often more specific to training datasets for machine learning models.

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From Home Ai Data Labeling jobs near you

AI, Data Science & Analytics Consultant

Guru Schools

Richmond, VA • On-site

Full-time

Posted 6 days ago

Job description

Overview:
Job Description
AI, Data Science & Analytics Consultant
Virginia, USA (Remote / Hybrid)
Client: Government of Virginia
Overview
We are looking for an experienced AI, Data Science & Analytics Consultant to support a high-impact government technology initiative. The role focuses on data-driven decision-making, analytics, reporting, and smart technology solutions for utility and operational systems.
Key Responsibilities
  • Analyze operational and business data to generate actionable insights
  • Develop dashboards, reports, and analytics solutions
  • Design data-driven decision support systems
  • Integrate data from multiple enterprise platforms
  • Support forecasting, optimization, and analytical modeling
  • Collaborate with stakeholders to improve system performance
  • Provide documentation, training, and user support
Required Skills
  • Experience in Data Analytics, Business Intelligence, or Data Science
  • Strong knowledge of dashboards, reporting tools, and visualization
  • Experience with enterprise systems and data integration
  • Knowledge of statistical analysis and AI-driven solutions
  • Strong communication and stakeholder management skills
  • Ability to work in fast-paced project environments
Preferred Skills
  • Experience with SCADA, GIS, CMMS, AMI, or utility systems
  • Government or public sector project experience
  • Understanding of utility operations and infrastructure systems
Education
  • Bachelor's degree in IT, Computer Science, Engineering, Data Science, or related field

Skills:
Data Analytics,Data Science,Tableau,Power BI

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