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

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... or technology shifts in order to determine how they might connect with the customer benefits we ...

... 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 ...

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

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 ...

A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using business ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using business ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

New

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Support annotation workflows by identifying and flagging imagery containing objects of interest

Showing results 21-40

Data Annotation Tech Remote information

See Ashburn, VA salary details

$12

$23

$35

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

As of Aug 10, 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 is a data annotation tech remote?

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 techs, 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.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

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 job categories do people searching Data Annotation Tech Remote jobs in Ashburn, VA look for? The top searched job categories for Data Annotation Tech Remote jobs in Ashburn, VA are:
Infographic showing various Data Annotation Tech Remote job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,586 per year, or $23.4 per hour.

Data Scientist II (Remote)

Maximus

VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 300 frontline employees who took The Breakroom Quiz

289th of 485 rated business services


Job description

General information
Job Posting Title
Data Scientist II (Remote)
Date
Tuesday, August 4, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
The Data Scientist II supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program by identifying and implementing innovative, high-value solutions across the Special Operations Forces (SOF) enterprise. This role applies advanced analytics and research methods to help improve the short- and long-term well-being of SOF service members and their families.
Security Clearance Requirement: This position requires an active Secret clearance and U.S. citizenship. Applicants who cannot provide proof of U.S. citizenship will not be considered due to the position's security clearance requirement.
Why Maximus?
Flexibility That Fits Your Life - Work/life balance support with flexibility designed to meet your personal and professional needs.
Robust Health & Insurance Benefits - Choose from a variety of Medical, Dental, Vision, and Prescription plans, plus a partially funded HSA. You'll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.
Build Your Financial Future - Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.
Generous Time Away From Work - Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.
Wellness Beyond the Workplace - Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).
Recognition That Matters - Celebrate achievements and recognize colleagues through our employee recognition platform.
Invest in Your Growth - Continue your education and professional development with Tuition Reimbursement opportunities.
Employee Discounts & Perks - Enjoy exclusive savings, special offers, and additional employee-only benefits.
Wellness Programs & Resources - Explore a variety of programs and tools designed to support your overall health and wellness.
Career Development Opportunities - Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.
Licensure & Certification Support - Maximus covers the costs associated with renewing required licenses and certifications.
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Essential Duties and Responsibilities
-Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis.
-Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making.
-Enter, maintain, and analyze data within government systems.
-Develop and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data.
-Assist POTFF staff with survey design and create, analyze, and report survey results.
-Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives.
-Collaborate with POTFF program staff and the Government's POTFF biostatistician.
-Provide subject matter expertise in program evaluation, research methodologies, and data analysis.
-Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings.
Minimum Requirements:
-Master's degree in quantitative science, social science, or a related discipline.
-Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting.
-Advanced proficiency with Microsoft Office applications, including Word, Excel, and Access.
-Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, SAS, Python, and R Shiny.
-Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted.
-Demonstrated record of scientific publications.
-Ability to read, write, and speak English fluently and clearly to communicate effectively with all personnel.
-Excellent verbal, written, interpersonal, and presentation skills, with strong attention to detail.
-Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working constructively with individuals from diverse backgrounds.
Active Secret clearance and U.S. citizenship.
This position is pending upon contract award. It requires active secret clearance at minimum.
Minimum Requirements
- B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 5+ years programming skill in Python, Scala, Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
- Experience working in an agile delivery model a plus.
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
- Ability to communicate complex ideas in a clear, precise, and actionable manner.
- Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
- PowerBI experience a plus.
Preferred Skills:
-Doctoral degree in quantitative science, social science, or a related discipline.
-Certification or documented experience in human performance.
-Experience supporting Special Operations, athletics or sports programs, or other military environments.
-Strong technical and analytical capabilities in data visualization tools such as Power BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development.
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
115,175.00
Maximum Salary
$
159,125.00

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