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Data Labeler Remote Jobs in Virginia (NOW HIRING)

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have ... Experience with ETL, Data Labeling and Data Prep. Experience designing, implementing, and ...

... for remote work to be determined by the program manager and customer. Essential Functions ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

Senior AI/ML Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Remote Clearance: US Citizenship required. Must be able to obtain and maintain a DHS Public Trust ... Data Lifecycle Management (retention labels, retention policies, records management) * Implement ...

Public Health Analyst

Vienna, VA · Remote

$57K - $60K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

Customer Service Representative

Mclean, VA · On-site +1

$16.50 - $22.25/hr

Position Status Label: Non- Exempt Labor Category: Customer Support Remote/Onsite: Remote ... Performs accurate and timely data entry of electronic faxes Receives inquiries from customers or ...

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

Licensed Physical Therapist

Mclean, VA · Remote

$85K - $106K/yr

Position Status Label: Non- Exempt Labor Category: Medical Remote/Onsite: Remote Additional ... review-related data/information accurately and timely. • Foster positive and professional ...

Built for a remote life Our culture, communications, and tools are built for remote work, enabling ... We partner with these agencies to build new capabilities, deliver products, establish data as a ...

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Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Virginia? The most popular types of Data Labeler jobs in Virginia are:
What job categories do people searching Data Labeler Remote jobs in Virginia look for? The top searched job categories for Data Labeler Remote jobs in Virginia are:
What cities in Virginia are hiring for Data Labeler Remote jobs? Cities in Virginia with the most Data Labeler Remote job openings:
Sr. Data Engineer (AI/ML)

Sr. Data Engineer (AI/ML)

Judge Group, Inc.

Reston, VA • Remote

$100K - $160K/yr

Other

Posted 12 days ago


Job description

Location: Reston, VA
Salary: $100,000.00 USD Annually - $160,000.00 USD Annually
Description:
Position: Sr Data Engineer (AI/ML)
Location: Remote
Security Clearance: DHS Suitability - contract requires U.S. Citizenship
Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of actual experience).
Experience with ETL, Data Labeling and Data Prep.
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain DHS Suitability.
Nice to Haves (not listed on the job description): Experience with Python, Redis, Elastic, Dask, Postgres, Spark, AI
Experience within Big Data environments (managing, accessing)
Experience operating in a DevSecOps and MLOps environment
Familiarity with cloud services, CPUs and GPUs
Possess the ability to work independently/with minimal oversight
Team player, passionate, and have a strong work ethic!
  • Describe this role in 2-3 sentences: As a Sr. Data Engineer I, you will support system delivery by performing integrated data analytics, artificial intelligence and machine learning (AI/ML), and DevSecOps tasks in cloud environments, while helping design and implement data-driven web applications. This role contributes to the modernization of complex, legacy, large-scale Identity Management Systems that support internet-facing websites and mission-critical IT systems.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!