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Remote Ai Data Collection Jobs in Springfield, VA

This remote position focuses on providing technical solutions for AI and data center environments. You will lead demonstrations, collaborate with sales, and propose tailored solutions based on client ...

Schedule & Support: Fully remote position Set your own schedule and complete tasks when it ... about our data collection, usage, and protection practices. To be successful in the process ...

New

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

... about our data collection, usage, and protection practices. To be successful in the process ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

New

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 ...

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 ...

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 ...

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Remote Ai Data Collection information

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$16

$26

$33

How much do remote ai data collection jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote ai data collection in Springfield, VA is $26.43, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $27.12 per hour, depending on experience, location, and employer.

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

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 are some common challenges faced 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.

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 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 the most commonly searched types of Ai Data Collection jobs in Springfield, VA? The most popular types of Ai Data Collection jobs in Springfield, VA are:
What are popular job titles related to Remote Ai Data Collection jobs in Springfield, VA? For Remote Ai Data Collection jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Springfield, VA look for? The top searched job categories for Remote Ai Data Collection jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Ai Data Collection jobs? Cities near Springfield, VA with the most Remote Ai Data Collection job openings:
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Washington, DC • Remote

$40/hr

Full-time

Posted 18 days ago


Job description

A data analytics firm is seeking experienced quantitative professionals to evaluate AI-generated work and contribute to advancing AI models. This fully remote role offers flexibility in projects and scheduling, with competitive pay starting at $40+ per hour. Candidates should have over 2 years of quantitative experience and experience with statistical methods.

If you're passionate about data and its applications in AI, apply to join this innovative team. #J-18808-Ljbffr