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Remote Ai Data Collection Jobs in Springfield, VA

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

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

Bright Vision Technologies

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 ...

Steampunk

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:

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

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 ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

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 ...

TSMG

Data collector / Driver

Washington, DC · Remote

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 ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

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 ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

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 ...

Amtrak

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 ...

Amtrak

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 ...

Steampunk

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 ...

Amtrak

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 ...

Amtrak

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 ...

Analytica

Junior Data Scientist

Bethesda, MD · On-site +1

The role may be Hybrid, either in San Antonio Tx or Falls Church VA or potentially remote with ... collection and processing, statistical, AI, and machine learning model building, and other ...

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All JobsAi Data Collection JobsRemote Ai Data Collection JobsRemote Ai Data Collection Jobs in Springfield, VA

Remote Ai Data Collection information

See Springfield, VA salary details

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

As of Aug 7, 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 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 Springfield, VA? The most popular types of Ai Data Collection jobs in Springfield, VA are:
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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 Data Collection jobs near you

Senior Product Manager, AI & Data Products

Surgo Health

Washington, DC • Remote

$156K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Description
Surgo Health is a Public Benefit Corporation building the world’s most comprehensive and insightful AI-powered data platform that reveals the why behind people’s behaviors. We uncover the unseen drivers of health - people’s beliefs, barriers, and behaviors - and transform that intelligence into scalable products that enable healthcare organizations to drive impact, reduce costs, and advance inclusion. From improving clinical trial design to optimizing care delivery and public health strategies, our solutions help decision-makers act on what truly shapes health outcomes. By revealing the human side of healthcare, we’re making it more personal, precise, and effective - for everyone.
We are hiring an experienced Senior Product Manager, AI & Data Products. This is the right role for you if you are passionate about building AI-driven products that tackle complex, real-world problems and turn data into decisions that matter. As Surgo Health scales its AI and behavioral intelligence platforms, you will play a critical role in defining product direction, owning the roadmap, and building core capabilities from the ground up in close partnership with company leadership, engineering, and data science. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build, and roll out products that shape how AI is responsibly applied in healthcare.

What you’ll achieve:
  • Define and own the product strategy and roadmap for AI and data products that power Surgo’s behavioral intelligence platforms.

  • Lead 0-to-1 and early-stage product initiatives, turning ambiguous problem spaces into clear product bets with measurable impact.

  • Partner deeply with engineering and data science to bring machine learning, generative AI, and advanced analytics into production-grade products.

  • Drive product discovery with customers and internal stakeholders to ensure solutions are grounded in real workflows and decisions.

  • Design products where AI outputs are interpretable, trusted, and actionable, not just technically impressive.

  • Own execution end to end, from framing the problem and defining success metrics through launch, iteration, and scaling.

  • Help establish product best practices and raise the bar for how Surgo builds and evaluates AI-powered products as the company grows.

About you:
You are a strong product thinker who thrives in ambiguity and wants meaningful ownership over what gets built and why. You enjoy working close to the problem, close to the technology, and close to the customer.

You likely bring:

  • A track record of owning and shipping complex software products in ambiguous or early-stage environments.

  • Experience in product management, engineering, data science, analytics, or a related role, with at least 3+ years in a product-focused capacity.

  • Strong technical fluency and comfort working closely with engineers and data scientists on AI, machine learning, or data-intensive systems.

  • Proven ability to translate complex data and models into products that users understand and trust.

  • Excellent product judgment and a bias toward outcomes, impact, and learning over process for its own sake.

  • Clear and compelling communication skills, with the ability to align diverse stakeholders around a shared product vision.

  • Preferred: experience in healthcare, life sciences, public health, or regulated industries, though deep curiosity and learning ability matter more than domain expertise.

You are motivated by impact and ownership. You want to help define how AI is used in healthcare, not just execute on someone else’s roadmap. You are excited by building foundational products that will scale with the company and shape its future.

Location: This role is remote friendly
Travel: 10% travel expected - primarily to our DC headquarters for internal strategy meetings

Benefits
  • Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare
  • Ability to be entrepreneurial and tremendous opportunities for growth
  • Public Benefit Corporation with an impact and equity mission
  • Competitive compensation and health benefits
  • Generous PTO, 10+ holidays
  • Highly competitive 401K
  • Professional Development opportunities
Surgo Health is committed to fair, equitable, and transparent practices. Compensation packages are based on several factors such as skill set, prior relevant experience, education, certifications, and market considerations. In addition to base compensation, individuals may be eligible for annual performance-based bonuses and equity (if applicable). We aim to pay salaries that are competitive, benchmarked against companies that are similar in stage, size, and market to Surgo Health. Our recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant role during the hiring process.

Our hiring philosophy

We hire for passion and core competencies. 

We look for problem solvers and lateral thinkers. 

We love it if you have done different things with your time. 

If you think you are ideal for this position, write to us even if your experience doesn’t match all the requirements listed above.


Equal Opportunity and Diversity Policy
Surgo believes a diverse, inclusive staff makes a stronger team and more impactful organization and we are committed to building and developing this team and environment. Qualified people of all races, ethnicities, cultures, ages, sex, genders, sexual orientation, gender identities and expressions, languages, social class, marital status, religions, veterans status, and disabilities are strongly encouraged to apply.