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Hourly Remote Data Labeling Jobs in Virginia (NOW HIRING)

Judge Group, Inc.

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 ...

General Motors

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 ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... 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 ...

Technica Corporation

Senior Cloud Engineer

Dulles, VA · On-site +1

$105K - $144K/yr

... secure remote access support, and protected collaboration environments for commercial, CUI, and ... Design and implement Microsoft Purview sensitivity labels, CUI labeling, data-handling rules, DLP ...

Technica Corporation

Senior Cloud Engineer

Dulles, VA · On-site +1

$105K - $144K/yr

... secure remote access support, and protected collaboration environments for commercial, CUI, and ... Design and implement Microsoft Purview sensitivity labels, CUI labeling, data-handling rules, DLP ...

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Hourly Remote Data Labeling information

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

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

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

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Virginia? For Hourly Remote Data Labeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Virginia look for? The top searched job categories for Hourly Remote Data Labeling jobs in Virginia are:
What cities in Virginia are hiring for Hourly Remote Data Labeling jobs? Cities in Virginia with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Posted 3 days ago

Job description

Location: Remote (U.S.-based preferred or strong familiarity with U.S. curriculum)
Type: 1099 Contract
Hours: Minimum 40 hours/week
Compensation: Competitive hourly rate based on experience and role

About the Role:

The client is a NYC-based non-profit with a social mission to lift economically and socially marginalized youth out of poverty in Asia and Africa. Using impact-based outsourcing, they create sustainable, living-wage jobs by providing data-labeling and annotation services for training datasets used in Computer Vision and GenAI applications.

The client is seeking dynamic, passionate, detail-oriented, and self-motivated individuals who enjoy providing annotation services. This position is ideal for self-starters with customer-facing etiquette, good communication skills, and a strong work ethic.

Position: Video Annotator (Traffic & Behavioral)
Responsibilities for the Retrieval Benchmark Annotation Project:
Perform multi-dimensional scene annotation for autonomous driving data. As an annotator, go beyond object labeling and perform structured classification, behavioral analysis, and apply causal reasoning.
Apply Advanced Annotation Capability by using the following skills:
Use your experience with annotation tools (segmentation, object tracking, timelines)
Apply complex taxonomies and attribute structures
Deploy accurate frame-level updates and lifecycle management of annotations
Scene Interpretation & Spatial Awareness by using the following skills:
Use your strong understanding of road environments and layouts
Identify road types, traffic infrastructure, and conditions
Demonstrate accurate perception of relative positioning and spatial relationships

Apply Behavioral & Causal Reasoning in the following tasks:
Interpret why events occur, not just what is visible
Identify relationships between ego vehicle, environment, and agents
Create logical links between entities

Apply Temporal Analysis with the following tasks:
Track changes over time within a scene
Update attributes dynamically as scenes evolve

Use Traffic Knowledge & Driving Judgment by using the following skills:
Strong understanding of traffic rules and right-of-way principles
Use discerning ability to assess legal vs illegal and safe vs aggressive behavior

Apply Multi-Agent Interaction Understanding when performing the following tasks:
Analyzing interactions between vehicles, pedestrians, objects, and the environment
Understanding and determining the influence and dependency between actors
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Why Join Us?

  • 100% remote, flexible work scheduled based on the client's needs

  • Be part of a collaborative, mission-driven project

  • Work with a team that values your educational expertise