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Full Time Online Data Annotation Jobs in Washington

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$69K - $158K/yr

We'll keep you sharp and moving forward in your career with access to online courses and the latest ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist

Arlington, VA · On-site

$69K - $158K/yr

We'll keep you sharp and moving forward in your career with access to online courses and the latest ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsOnline Data Annotation JobsFull Time Online Data Annotation JobsFull Time Online Data Annotation Jobs in Washington

Full Time Online Data Annotation information

What is a full time online data annotation job?

A Full Time Online Data Annotation job involves labeling, tagging, or categorizing data such as images, audio, video, or text to help train artificial intelligence (AI) models. Data annotators work remotely, often using specialized software platforms to accurately mark data according to specific guidelines. This role is essential for improving the accuracy and performance of machine learning algorithms in various industries, including technology, healthcare, and autonomous vehicles. Full-time positions typically require consistent hours and may offer benefits depending on the employer. Attention to detail and the ability to follow instructions are crucial skills for success in this job.

What are the key skills and qualifications needed to thrive as a full time online data annotation specialist, and why are they important?

To thrive as a Full Time Online Data Annotation Specialist, you need strong attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with data annotation tools, cloud-based platforms, and sometimes knowledge of scripting languages like Python is commonly required. Strong communication, time management, and the ability to work independently help individuals excel in this remote role. These skills ensure accurate, high-quality data labeling that is crucial for training effective machine learning models.

What are some common challenges faced by full time online data annotators, and how can they be managed effectively?

Full-time online data annotators often encounter challenges such as maintaining focus during repetitive tasks, managing high volumes of data, and ensuring consistency in labeling. To address these, it's important to take regular breaks, utilize productivity tools, and follow detailed annotation guidelines closely. Many organizations provide quality checks and feedback, which can help annotators improve accuracy and efficiency over time. Additionally, collaborating with team leads or peers can offer support and clarify any uncertainties regarding complex data.

What is the difference between Full Time Online Data Annotation vs Data Labeling Specialist?

AspectFull Time Online Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, online platform-basedRemote or in-office, often on specific projects
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentFull Time Online Data Annotation vs Data Labeling Specialist

Full Time Online Data Annotation involves ongoing, remote work focused on labeling data for AI training, often with a full-time schedule. Data Labeling Specialists may perform similar tasks but can work part-time or on specific projects. Both roles require attention to detail and basic technical skills, but Full Time Online Data Annotation typically offers more stability and consistent hours.

Is it hard to get hired for full time online data annotation?

Full time online data annotation jobs are generally accessible to those with basic computer skills and attention to detail. Competition can vary, but having familiarity with annotation tools and a reliable internet connection can improve chances of being hired. Many companies prioritize accuracy and consistency over formal qualifications.

What are the best data annotation companies to work for?

Full time online data annotation jobs are offered by companies such as Appen, Lionbridge, and Clickworker, which provide remote work opportunities for annotators. These companies often require attention to detail, familiarity with annotation tools, and the ability to work independently on flexible schedules.

What are the most commonly searched types of Online Data Annotation jobs in Washington?

The most popular types of Online Data Annotation jobs in Washington are:

What are popular job titles related to Full Time Online Data Annotation jobs in Washington?

For Full Time Online Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Full Time Online Data Annotation jobs in Washington look for?

The top searched job categories for Full Time Online Data Annotation jobs in Washington are:

What cities in Washington are hiring for Full Time Online Data Annotation jobs?

Cities in Washington with the most Full Time Online Data Annotation job openings:

Full Time Online Data Annotation jobs near you

Data Steward, Senior

Chopine Analytic Solutions LLC

Springfield, VA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Job Name: Data Steward
Level: Senior
Location: Springfield, VA (NCE)
Remote Work: No
Required Clearance: TS/SCI
Position Type: Immediately Available
Shift: Shift 1
Office Supported: Analysis Office
REQUIRED QUALIFICATIONS:
  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience
    • OR a combination of education and years of experience including but not limited to degree programs, professional certifications, and military training
  • Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
  • Knowledge of extraction and metadata specifications
  • Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
  • Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
  • Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
  • Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
  • Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams
  • Knowledge of scripting languages, such as R or Python

COMPENSATION
CAS offers a generous benefits package for full time employees, including: 4 weeks PTO accrual for new employees with increases at milestone anniversaries, 11 paid holidays, employer-paid life and disability insurance, family health, dental and vision benefits, TRICARE Supplemental insurance, 401(k) with up to 6% employer match, generous tuition assistance for higher education or career related certifications, flexible work schedules, and opportunities for referral bonuses.
Base salaries at CAS are determined by various factors, including work location, an individual's education, knowledge, skills, experience, as well as contract-specific affordability and organizational requirements. The projected salary range for this position is $120,000 to $150,000. The estimate displayed represents the typical salary range for this position and is just one component of CAS's total compensation package.
Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.

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