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Remote Ai Data Collection Jobs in Washington (NOW HIRING)

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... Supports the collection and integration of large, complex data sets that meet cross-organizational ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

In this role, you will develop and automate Python scripts for data collection, cleaning, and ... Comfortable using AI tools to improve product quality and delivery speed PREFERRED EXPERIENCE ...

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

ML Data Engineer

Sterling, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/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! Qualifications Required:

Our company is a leader in deploying AI and advanced technologies to improve productivity and ... Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

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 ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Knowledge of data collection methods, capabilities, and tasking process * Ability to leverage ... AI solutions and a passion for solving complex problems. * 3+ years direct experience in Data ...

Showing results 21-40

Remote Ai Data Collection information

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

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

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.
What are the most commonly searched types of Ai Data Collection jobs in Washington? The most popular types of Ai Data Collection jobs in Washington are:
What job categories do people searching Remote Ai Data Collection jobs in Washington look for? The top searched job categories for Remote Ai Data Collection jobs in Washington are:
What cities in Washington are hiring for Remote Ai Data Collection jobs? Cities in Washington with the most Remote Ai Data Collection job openings:

Data Scientist

SAIC

Chantilly, VA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 12 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

Job ID: T2601217

Location: Chantilly, VA, US

Date Posted: 2026-03-05

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

As the Data Scientist you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Job Responsibilities to include:

  • 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 Education and Experience:

  • 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.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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