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Remote Ai Data Collection Jobs in Washington (NOW HIRING)

Overview Clinical Data Manager - Temp to Hire US - Remote Note for Applicants: This position will ... of data collection. Responsibilities Participates with cross-functional teams in design ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/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:

Data Scientist

Washington, DC · On-site +1

$141K - $236K/yr

This role supports mission analytics, AI-enabled workflows, predictive analytics, and operational ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Our company is a leader in deploying AI and advanced technologies to improve productivity and ... Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing ...

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 ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

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 ...

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Showing results 1-20

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 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 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 are the most commonly searched types of Ai Data Collection jobs in Washington? The most popular types of Ai Data Collection jobs in Washington are:
What job categories do people searching Remote Ai Data Collection jobs in Washington look for? The top searched job categories for Remote Ai Data Collection jobs in Washington are:
What cities in Washington are hiring for Remote Ai Data Collection jobs? Cities in Washington with the most Remote Ai Data Collection job openings:
Lead AI & Data Analytics Engineer - Must be government clearance eligible (Remote)

Lead AI & Data Analytics Engineer - Must be government clearance eligible (Remote)

NavAide

Arlington, VA • Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

About Navaide

Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.

Catalysts for a Stronger Tomorrow

At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.

How You Will Make an Impact:

We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.

This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.

The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.

Key Responsibilities:

  • Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
  • Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
  • Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
  • Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
  • Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories from raw ingest through staging to curated, production-ready datasets
  • Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements
  • Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
  • Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
  • Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
  • Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
  • Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
  • Support data integration across contract writing, procurement, financial, program, and operational data sources.
  • Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
  • Establish standards for data quality, governance, documentation, and responsible AI use.
  • Provide technical direction to junior or support-level data analytics staff.
  • Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.

Required Qualifications:

  • 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
  • Experience building analytics products in Palantir Foundry.
  • Experience working with Advana, Jupiter, or similar federal/DoD data environments.
  • Strong experience with SQL, Python, TypeScript/JavaScript.
  • Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
  • Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
  • Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
  • Strong understanding of data governance, data quality, access control, and responsible AI practices.
  • Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
  • Strong client-facing communication skills and stakeholder engagement skills.
  • Eligible to obtain a U.S. Government clearance
  • Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

Preferred Qualifications

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.

Education

What We Offer

Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.

  • Competitive compensation: $130,000 150,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture

Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.

Ready to Make a Difference?

For more about us, please check out the following links:

  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.


NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016