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Freelance Ai Data Collection Jobs in Springfield, VA

SAIC

GEOINT SIGINT Data Scientist

Chantilly, VA · On-site +1

$160K - $200K/yr

Supports the collection and integration of large, complex data sets that meet ... Experience in applying modern techniques in artificial intelligence (AI), data science, machine ...

H2 Performance Consulting

Data Systems Engineer

Washington, DC · On-site

$129K - $155K/yr

... collection platforms, and technical solutions supporting the DoD auditory health mission. The ... Experience with data engineering, database architecture, automation, analytics, or AI-assisted ...

H2 Performance Consulting

Data Systems Engineer

Washington, DC · On-site

$129K - $155K/yr

... collection platforms, and technical solutions supporting the DoD auditory health mission. The ... AI-assisted methods. • Experience supporting secure systems that handle CUI, PII, or PHI. • ...

TSMG

Data collector / Driver

Washington, DC

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TSMG

Data collector / Driver

Washington, DC · Remote

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Develop AI-enabled solutions * Document and communicate methods and data resources * Implement ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

SAIC

GEOINT SIGINT Data Scientist

Chantilly, VA · On-site

$160K - $200K/yr

Supports the collection and integration of large, complex data sets that meet cross-organizational ... Experience in applying modern techniques in artificial intelligence (AI), data science, machine ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Supports the collection and integration of large, complex data sets that meet cross-organizational ... Experience in applying modern techniques in artificial intelligence (AI), data science, machine ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125 - $160/hr

... AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a ... Knowledge of data collection methods, capabilities, and tasking process * Ability to leverage ...

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All JobsAi Data Collection JobsFreelance Ai Data Collection JobsFreelance Ai Data Collection Jobs in Springfield, VA

Freelance Ai Data Collection information

See Springfield, VA salary details

$10

$21

$30

How much do freelance ai data collection jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance ai data collection in Springfield, VA is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $25.10 per hour, depending on experience, location, and employer.

What is freelance AI data collection?

Freelance AI data collection involves gathering and labeling data—such as images, text, audio, or video—that is used to train artificial intelligence and machine learning models. Freelancers in this field are typically hired by companies or research organizations to collect, organize, and sometimes annotate large datasets according to specific guidelines. The work can range from recording voice samples to tagging objects in photographs, ensuring that the data is accurate and diverse. This role is essential for improving the performance and reliability of AI systems across various applications.

What skills and qualifications are needed to thrive as a freelance AI data collection specialist?

To excel as a Freelance AI Data Collection Specialist, you need strong analytical skills, attention to detail, and familiarity with data entry or annotation tasks, often supported by a background in computer science or related fields. Proficiency with data labeling tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker Ground Truth is typically required. Excellent communication, reliability, and the ability to follow nuanced guidelines help freelancers stand out in this role. These skills ensure the delivery of high-quality, accurate datasets that are essential for effective AI model training.

What are common challenges faced by freelance AI data collectors, and how can they be addressed?

Freelance AI data collectors often encounter challenges such as meeting strict quality standards, managing inconsistent workloads, and ensuring data privacy. To address these, it's important to closely follow project guidelines, communicate proactively with project managers, and stay organized with time management tools. Additionally, familiarizing yourself with data protection best practices and seeking feedback can help improve your performance and reliability on future projects.

What is the difference between Freelance Ai Data Collection vs Freelance Data Annotation?

AspectFreelance Ai Data CollectionFreelance Data Annotation
CredentialsBasic data handling skills, familiarity with data sourcesAttention to detail, understanding of annotation tools
Work EnvironmentRemote, independent data gatheringRemote, using annotation platforms
Industry UsageCollecting raw data for AI modelsLabeling and annotating data for training AI

Freelance Ai Data Collection involves gathering raw data from various sources, while Freelance Data Annotation focuses on labeling data to train AI models. Both roles are remote and require attention to detail, but they serve different stages in AI development.

What are the most commonly searched types of Ai Data Collection jobs in Springfield, VA?

The most popular types of Ai Data Collection jobs in Springfield, VA are:

What job categories do people searching Freelance Ai Data Collection jobs in Springfield, VA look for?

The top searched job categories for Freelance Ai Data Collection jobs in Springfield, VA are:

Freelance Ai Data Collection jobs near you

Data Systems Engineer

H2 Performance Consulting

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 8 days ago

Job description

H2 Performance Consulting is subject to the Vietnam Era Veteran's Readjustment Assistance Act as a Federal Contractor.  As such we strive to reach out and provide employment opportunities to our Veterans through a variety of sources and to build a diverse workforce.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.  As mandated under Executive order 12989, H2 is required to verify employment eligibility of selected candidates through the Department of Labor’s - E-Verify.

H2 Performance Consulting is seeking an Engineer to support the development, integration, sustainment, and evaluation of software, databases, data collection platforms, and technical solutions supporting the DoD auditory health mission.

The Engineer will support research, clinical, and public health activities involving hearing health data, audiology-related software tools, interoperability with DoD systems, data processing, technical implementation, and emerging analytic approaches. This role will help translate research concepts into usable tools that support military hearing readiness and clinical decision-making.

Key Responsibilities

·    Develop, integrate, and sustain software applications, databases, data collection platforms, and technical tools supporting auditory health research and clinical programs.

·    Support flexible open-source software platforms, including systems similar to TabSINT, used for data collection, education, and hearing health assessments.

·    Support development of tools capable of interacting with DoD systems such as DOEHRS-HC and MHS GENESIS.

·    Assist with database architecture, data engineering, data processing, and technical workflows.

·    Support development of hearing health assessment tools, occupational exposure data tools, and applications that improve capture of clinical and public health data.

·    Provide technical support for implementation of research and clinical technologies, including boothless audiometry, mobile hearing test applications, hearing protection fit-testing systems, and telehealth solutions.

·    Support cybersecurity, data protection, and secure handling of CUI, PII, and PHI in accordance with DoD requirements.

·    Work with audiologists, researchers, coordinators, technicians, and Government stakeholders to translate operational needs into technical solutions.

·    Support testing, troubleshooting, documentation, training, and user feedback activities.

Required Qualifications

·    Bachelor’s degree or higher in engineering, computer science, or a related technical field preferred; equivalent experience may be considered.

·    Minimum of 2 years of systems or software engineering experience.

·    Experience developing, integrating, supporting, or sustaining software, databases, or technical platforms.

·    Ability to support data processing, system interoperability, and technical documentation.

·    Strong analytical, troubleshooting, and communication skills.

·    Ability to complete required Government training, including cybersecurity and HIPAA training.

Preferred Qualifications

·    Experience supporting DoD, DHA, VA, military medicine, public health, or healthcare IT environments.

·    Familiarity with health data systems, medical record systems, data interoperability, or regulated healthcare data.

·    Experience with data engineering, database architecture, automation, analytics, or AI-assisted methods.

·    Experience supporting secure systems that handle CUI, PII, or PHI.

·    Familiarity with audiology, occupational health, or hearing conservation programs.

 Qualified candidates may submit their resume to the career section of our company website at http://www.h2pc.com. All resumes will be reviewed and those candidates we wish to further in the application process will be contacted via email/phone to schedule initial phone screens. All resumes are kept on file for comparison of skills against future position requirements.