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Overnight Ai Data Collection Jobs in Virginia (NOW HIRING)

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. • ...

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 ...

TSMG

Driver / Data Collector in Warsaw, VA

Warsaw, VA · On-site

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 ...

TSMG

Driver / Data Collector in Warsaw, VA

Warsaw, VA · On-site

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 ...

TSMG

Driver / Data Collector in Warsaw, VA

Warsaw, VA · On-site

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 ...

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Overnight Ai Data Collection information

What is an overnight AI data collection specialist?

An Overnight AI Data Collection job involves gathering and organizing data during nighttime hours to support the development and training of artificial intelligence systems. Workers in this role may collect images, audio, text, or other types of data, ensuring accuracy and quality according to specific guidelines. The overnight schedule helps companies process large volumes of data continuously and meet tight deadlines. This role is important for improving the performance and reliability of AI models. It often requires attention to detail, basic computer skills, and the ability to work independently.

What are the key skills and qualifications needed to thrive as an overnight AI data collection specialist?

To thrive as an Overnight AI Data Collection Specialist, you need strong attention to detail, data entry proficiency, and familiarity with data collection methodologies, often supported by a high school diploma or equivalent. Experience with data management tools, spreadsheets, and platforms such as SQL databases or Python scripts is commonly required. Reliability, time management, and effective communication are valuable soft skills for working independently during overnight shifts and ensuring data accuracy. These skills and qualities are essential to maintaining high data quality and supporting robust AI model development in a time-sensitive environment.

What are some common challenges faced by overnight AI data collection specialists, and how can they be managed?

Overnight AI data collection specialists often face challenges such as managing fatigue due to unconventional working hours and ensuring data accuracy during less supervised shifts. It’s important to establish a consistent sleep schedule and take regular breaks to maintain focus. Collaboration with daytime teams through detailed handover notes and communication tools helps ensure continuity and data integrity. Many organizations provide training and support to help manage these challenges and maintain high data quality.

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

AspectOvernight Ai Data CollectionData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site, flexible hours, often overnight shiftsRemote or on-site, regular hours, focused on labeling data
Industry UsageUsed in AI training data collection, especially for image and video dataUsed in AI model training, labeling datasets for machine learning

Overnight Ai Data Collection involves gathering raw data for AI training, often during overnight hours, while Data Annotator focuses on labeling and annotating existing datasets. Both roles are essential in AI development, with overlapping skills but different primary tasks.

How to be an Overnight AI Data Collection?

To work as an Overnight AI Data Collector, you should have strong attention to detail, basic computer skills, and the ability to work flexible hours. The role typically involves gathering, labeling, or verifying data for AI training during overnight shifts, often requiring familiarity with data management tools. Prior experience in data entry or similar tasks can be beneficial, and some positions may require completing a short training or assessment.

What are the most commonly searched types of Ai Data Collection jobs in Virginia?

The most popular types of Ai Data Collection jobs in Virginia are:

What are popular job titles related to Overnight Ai Data Collection jobs in Virginia?

For Overnight Ai Data Collection jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Overnight Ai Data Collection jobs in Virginia look for?

The top searched job categories for Overnight Ai Data Collection jobs in Virginia are:

What cities in Virginia are hiring for Overnight Ai Data Collection jobs?

Cities in Virginia with the most Overnight Ai Data Collection job openings:

Overnight Ai Data Collection jobs near you

Data Scientist

SAIC

Chantilly, VA • On-site

Full-time

Re-posted 27 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 225 rated it services

Job description

Job Summary:
SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support for a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's Ground Enterprise Directorate, focusing on data analysis to drive strategic mission efforts and resolve operational problems with data-driven solutions.
Responsibilities:
• Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
• Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
• Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
• Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling.
• Documents internal process improvements to optimize data delivery and automate manual processes.
• Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
• Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
• Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.
Qualifications:
Required:
• Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
• 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
• Hands-on practical experience with data analytics, machine learning, and statistical methods.
• Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
• Demonstrated high level of initiative, creative problem-solving, and critical thinking.
• Demonstrated capability and success working in team environments.
• Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
• Good working knowledge of MS Office applications.
Company:
SAIC specializes in IT, enterprise IT, engineering, and professional services. Founded in 1969, the company is headquartered in Reston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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