ZipRecruiter

Log In

2

Remote Ai Data Collection Jobs in Virginia (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129.50K - $155.50K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129.50K - $155.50K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

Telus Digital

$168K - $210K/yr

For data collection , we leverage a global AI Community of over one million contributors to deliver fully managed, multimodal datasets spanning text, audio, video, image, geo, and 3D data at any ...

Dexian

Data/ML Ops Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Remote (EST) Summary Seeking a Data / ML Ops Engineer to support the data preparation and AI workflow integration for Clients Product. This role will ensure that AI pipelines are performant, secure ...

Armada

Remote AI Factory Solutions Engineer

Springfield, VA · Remote

$160K - $200K/yr

This remote position focuses on providing technical solutions for AI and data center environments. You will lead demonstrations, collaborate with sales, and propose tailored solutions based on client ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115.80K - $139.10K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Leverage AI-assisted development tools to accelerate pipeline development, testing, and ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Knowledge of data collection methods, capabilities, and tasking process * Ability to leverage ... AI solutions and a passion for solving complex problems. * 3+ years direct experience in Data ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ... Support collection planning and requirements definition for remote sensors, coordinating priorities ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

... data collection and generation, to align the organization and its data assets in support of the ... You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Required:

Cloud BC Labs

Databrick Architect

Reston, VA · On-site +1

$66.25 - $85.25/hr

Remote Term : C2C/W2 role Duration : 12+ months We are seeking an experienced and highly skilled ... Collaborate with data scientists and analytics teams for AI/ML workloads. * Design batch and real ...

Deloitte

GCP Engineer

Mclean, VA · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

next page

Showing results 1-20

People also search for

All JobsAi Data Collection JobsRemote Ai Data Collection JobsRemote Ai Data Collection Jobs in Virginia

Remote Ai Data Collection information

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

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are the most commonly searched types of Ai Data Collection jobs in Virginia? The most popular types of Ai Data Collection jobs in Virginia are:
What are popular job titles related to Remote Ai Data Collection jobs in Virginia? For Remote Ai Data Collection jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Virginia look for? The top searched job categories for Remote Ai Data Collection jobs in Virginia are:
What cities in Virginia are hiring for Remote Ai Data Collection jobs? Cities in Virginia with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you
AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$129.50K - $155.50K/yr

Full-time

Posted 11 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 rated it services

Job description

Job ID: 2612714

Location: Fort Belvoir, VA, US

Date Posted: 2026-05-18

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications

Required Education:

  • Bachelors degree and five (5) years or more related experience; Masters and two (2) years or more experience; PhD or JD and zero (0) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  
     

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply