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Data Annotation Tech Remote Jobs in Ashburn, VA (NOW HIRING)

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Familiarity with Databricks or similar cloud-based distributed database technologies * Familiarity ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Familiarity with Databricks or similar cloud-based distributed database technologies * Familiarity ...

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret ... Background in DoD, VA, or other federal health IT programs * Knowledge of Responsible AI and NIST ...

... for a complex federal technology services program. This role will support the design ... This position is remote within the United States. Please note that ICF monitors employee work ...

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Data Annotation Tech Remote information

See Ashburn, VA salary details

$12

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How much do data annotation tech remote jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data annotation tech remote in Ashburn, VA is $23.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $27.79 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Ashburn, VA? The most popular types of Data Annotation Tech jobs in Ashburn, VA are:
What are popular job titles related to Data Annotation Tech Remote jobs in Ashburn, VA? For Data Annotation Tech Remote jobs in Ashburn, VA, the most frequently searched job titles are:
Director, Software Engineer Finance Tech - (Remote Eligible)

Director, Software Engineer Finance Tech - (Remote Eligible)

Capital One

Mclean, VA • On-site, Remote

$255K/yr

Full-time

Posted 17 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Director, Software Engineer Finance Tech - (Remote Eligible)

As a Capital One Director of Software Engineering, you'll work on everything from forward-looking forecasting frameworks and strategic planning tools to high-throughput data engineering pipelines, back-end systems, and machine learning models using the latest techniques in Big Data. You will sit at the intersection of core business strategy and advanced technology, leading teams to build next-generation data infrastructure side-by-side with quantitative data scientists and business leaders. You'll bring solid experience in emerging and traditional data technologies, cloud platforms, and analytical disciplines such as: Python, SQL, Spark, Scala, Snowflake, Databricks, AWS/Cloud Infrastructure, Apache Airflow, MLOps,, machine learning frameworks, and large-scale enterprise data systems, to name a few.

You will:

  • Lead, manage, and grow multiple forward-thinking teams of software, data, and platform engineers.

  • Mentor and guide the professional and technical development of engineers, fostering a culture of innovation.

  • Partner with product managers, data scientists, and system architects to translate complex business strategies into executable technical intent.

  • Continuously elevate engineering practices, pioneering spec-driven and intent-driven architectures to minimize friction and maximize build quality.

  • Design, implement, and support scalable backend solutions, effectively integrating custom data pipelines with COTS platforms and custom software capabilities, using advanced CI/CD frameworks.

  • Lead the craftsmanship, availability, resilience, and scalability of analytics engines and data infrastructure.

  • Bring a passion for staying on top of tech trends, experimenting with emerging agentic frameworks, participating in technology communities, and mentoring members of the broader engineering ecosystem.

  • Encourage innovation, the implementation of cutting-edge technologies, inclusion, outside-the-box thinking, and highly autonomous, distributed teamwork.

  • Collaborate across engineering organizations to optimize system throughput, streamline complex dependencies, and accelerate the delivery of intelligent capabilities.

  • Lead efforts to design and deploy highly available, cloud-native solutions, data systems, and automated frameworks into AWS environments.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in software engineering

  • At least 5 years of experience in people management

Preferred Qualifications:

  • Master's Degree in Computer Science or Master's Degree in Software Engineering

  • 10+ years of experience in software engineering

  • 5+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Director, Software Engineering


Cambridge, MA: $269,100 - $307,200 for Director, Software Engineering


McLean, VA: $269,100 - $307,200 for Director, Software Engineering


Richmond, VA: $244,700 - $279,200 for Director, Software Engineering








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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