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Temporary Ai Data Collection Jobs in Virginia (NOW HIRING)

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis ... AI & Technology Initiatives * Support implementation of approved AI tools and workflows. * Help ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$98K - $118K/yr

... collection during testing Preferred : • Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine Learning (ML) into data analysis software • Database Management • Analysis of ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$115K - $139K/yr

... data collection and generation, to align the organization and its data assets in support of the ... You will contribute to the growth of our AI & Data Exploitation Practice! Required: * Ability to ...

SAIC

Data Scientist

Chantilly, VA · On-site

... the collection and integration of large, complex data sets that meet cross-organizational ... in artificial intelligence (AI), data science, machine learning (ML), or statistics. • ...

TSMG

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

Experience in the coordination of the equipment necessary to implement data collection during testing. Technical Skills : * Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine ...

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All JobsAi Data Collection JobsTemporary Ai Data Collection JobsTemporary Ai Data Collection Jobs in Virginia

Temporary Ai Data Collection information

What is temporary AI data collection?

Temporary AI data collection is a short-term job where individuals gather, label, or organize data used to train artificial intelligence systems. This can involve tasks such as taking photos, recording audio, transcribing text, or annotating images and videos according to specific guidelines. The work is often project-based and helps improve the accuracy and performance of AI models. People in these roles play a vital part in ensuring that AI systems learn from diverse, well-organized, and correctly labeled data.

What are the key skills and qualifications needed to thrive as a temporary AI data collection specialist, and why are they important?

To thrive as a Temporary AI Data Collection Specialist, you need attention to detail, basic data entry skills, and the ability to follow structured guidelines, often with a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and cloud-based collaboration tools is typically required. Reliability, adaptability, and strong communication skills help ensure accurate data collection and effective teamwork. These skills are important for producing high-quality datasets that improve AI models and support project goals.

What is the difference between Temporary Ai Data Collection vs Data Annotator?

AspectTemporary Ai Data CollectionData Annotator
CredentialsBasic computer skills, sometimes familiarity with data collection toolsAttention to detail, basic technical skills, sometimes training in annotation tools
Work EnvironmentRemote or on-site, often flexible hoursRemote or on-site, focused on labeling data
Industry UsageUsed in AI training data gathering, machine learning projectsUsed in preparing datasets for AI models, image/video/text annotation

Temporary Ai Data Collection involves gathering raw data for AI training, often requiring data sourcing skills. Data Annotator focuses on labeling and annotating data to make it usable for machine learning. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

What does a typical day look like for someone in a temporary AI data collection role?

In a Temporary AI Data Collection position, your daily tasks often involve gathering, labeling, and organizing large sets of data—such as images, text, or audio—that will be used to train machine learning models. You may work independently or as part of a team, following specific guidelines to ensure data accuracy and consistency. Attention to detail is crucial, as even small errors can impact the quality of AI systems. Collaboration with project managers or data scientists is common, especially when clarifying data requirements or resolving ambiguities. The work environment is typically fast-paced, with clear deadlines and performance metrics to meet.
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Temporary Ai Data Collection jobs near you

Data, BI & AI Analyst

Vertical Avi

Alexandria, VA • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

VAI is seeking a curious, analytical, and technology-focused Data, BI & AI Analyst to support the organization's growing use of data, business intelligence, and artificial intelligence. This is an excellent opportunity for an early-career professional who is passionate about data and emerging technologies and wants to help shape innovative solutions that support organizational decision-making.

In this role, you will work closely with VAI's Technical Director and stakeholders across the organization to support business intelligence initiatives, contribute to the development of the DAVE data program, and assist with the implementation of AI tools and workflows. The position offers significant learning and growth opportunities as VAI continues to expand its data and analytics capabilities.

WhatYou'llDo


Business Intelligence & Reporting

  • Support Zoho Analytics rollout and ongoing adoption.
  • Create, maintain, and improve dashboards and reports across departments.
  • Collect, validate, analyze, and document data for organizational reporting.
  • Partner with staff to identify reporting needs and improvement opportunities.


DAVE Data Program Support

  • Assist with data collection, research, cleaning, and analysis.
  • Prepare data for dashboards, reports, and visualizations.
  • Document data sources, requirements, and assumptions.
  • Support new data use cases, analytics opportunities, and AI/ML initiatives.

AI & Technology Initiatives

  • Support implementation of approved AI tools and workflows.
  • Help staff use AI tools responsibly and effectively.
  • Create prompts, templates, workflow examples, and use-case documentation.
  • Follow AI governance, privacy, and data-use standards.

Data Quality & Documentation

  • Monitor data quality and escalate integrity issues.
  • Assist with audits, reconciliations, and cleanup efforts.
  • Create user guides, process documentation, and training materials.
  • Support additional data, BI, AI, and reporting projects as needed.



Required Qualifications


  • Bachelor's degree or equivalent education in Data Analytics, Computer Science, Information Systems, Statistics, Machine Learning, Business Intelligence, or a related field.

  • Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

  • Working knowledge of Excel, data analysis, data cleaning, reporting concepts, and related tools such as SQL, Python, BI platforms, data visualization, or machine learning.

  • Interest in artificial intelligence, practical business applications of AI, and continued learning in emerging technologies.

Preferred Qualifications

  • Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience.
  • Interest in aviation, association management, safety programs, or industry data initiatives.

Work Environment and Travel

  • Hybrid work environment; in-office once per week or as needed based.
  • Must be able to work out of the corporate headquarters in Alexandria, VA.
  • Limited travel required. Current expectations include approximately one domestic trade show and one to three international trips annually, though travel requirements may vary based on organizational priorities.

Why Join VAI:

  • Work at the intersection of data, technology, and innovation.
  • Gain exposure to business intelligence, analytics, and artificial intelligence initiatives.
  • Collaborate with leaders across multiple functional areas.
  • Contribute to meaningful projects that supporta global aviationindustry.
  • Build valuable experience and grow alongside a developing data and analytics program.

Compensation & Benefits

Competitive salary and comprehensive benefits package which includes medical, dental, and vision plans where we pay 100% of the employee premiums. A retirement plan with a generous match, tuition reimbursement, and the ability to work remotely

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