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Remote Ai Tagging Jobs in Washington (NOW HIRING)

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Establish and enforce AI development best practices, including MLOps, version control ... Familiarity with cloud resource-tagging strategies and governance policies that support cost ...

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Establish and enforce AI development best practices, including MLOps, version control ... Familiarity with cloud resource-tagging strategies and governance policies that support cost ...

MarketBridge

Senior Manager, SEM

Washington, DC · Remote

This is a remote role, required to work in EST hours. Who We Are  Marketbridge partners with ... Apply automation, AI-powered platform capabilities, and advanced bidding strategies to improve ...

New

MarketBridge

Senior Manager, SEM

Washington, DC · On-site +1

This is a remote role, required to work in EST hours. Who We Are Marketbridge partners with leading ... Apply automation, AI-powered platform capabilities, and advanced bidding strategies to improve ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face ...

JLL

Data Collection Specialist II

Washington, DC · Remote

Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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All JobsAi Tagging JobsRemote Ai Tagging JobsRemote Ai Tagging Jobs in Washington

Remote Ai Tagging information

What is remote AI tagging?

Remote AI tagging is the process of labeling or annotating data, such as images, videos, or text, from a remote location to help train artificial intelligence systems. Individuals working in remote AI tagging use specialized software to identify and categorize objects, features, or patterns within data sets. This work is essential for improving the accuracy and performance of machine learning models. It can be done from anywhere with an internet connection, making it a flexible job option.

What are the key skills and qualifications needed to thrive as a remote AI tagging specialist?

To thrive as a Remote AI Tagging Specialist, you need strong attention to detail, data annotation experience, and a basic understanding of machine learning concepts, usually backed by a relevant degree or equivalent experience. Familiarity with annotation platforms, data labeling tools, and quality control systems is typically required. Excellent communication, time management, and the ability to follow precise guidelines are crucial soft skills for excelling in this remote role. These skills ensure accurate data labeling, which is essential for developing effective AI models and maintaining project quality standards.

What are some typical challenges faced by professionals working in remote AI tagging roles, and how can they be managed?

Remote AI tagging professionals often encounter challenges such as maintaining high accuracy while labeling large volumes of data and managing repetitive tasks that require close attention to detail. Working remotely can also lead to feelings of isolation, so regular communication with team members and participating in virtual meetings can help. Establishing a structured daily routine, using productivity tools, and staying updated on annotation guidelines are effective strategies to ensure consistent quality and meet project deadlines.

What is the difference between Remote Ai Tagging vs Data Labeler?

AspectRemote Ai TaggingData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesData management, research, tech companies
Search & Comparison IntentUnderstanding AI-specific tagging rolesGeneral data labeling roles

Remote Ai Tagging and Data Labeler roles both involve labeling data for machine learning, often remotely and with similar skills. However, Remote Ai Tagging typically emphasizes AI-specific tasks like image, video, or text annotation for AI models, while Data Labelers may work on broader data categorization projects. Both roles are essential in AI development, but Remote Ai Tagging often requires familiarity with AI workflows and tools.

What are popular job titles related to Remote Ai Tagging jobs in Washington?

For Remote Ai Tagging jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Ai Tagging jobs in Washington look for?

The top searched job categories for Remote Ai Tagging jobs in Washington are:

What cities in Washington are hiring for Remote Ai Tagging jobs?

Cities in Washington with the most Remote Ai Tagging job openings:

Remote Ai Tagging jobs near you

FinOps Specialist (REMOTE)

Koniag, Inc.

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Koniag Data Solutions, LLC, a Koniag Government Services company, is seeking a FinOps Specialist to support KDS and our government customer. The position is remote. This position requires the candidate to be able to obtain a Public Trust.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Koniag Data Solutions, LLC (KDS), a Koniag Government Services company, is seeking an experienced FinOps Specialist to support cloud-financial management operations for the Administration for Children and Families (ACF), a U.S. Department of Health and Human Services component. The ideal candidate is a detail-oriented financial and technical professional with strong analytical skills, a practical understanding of cloud pricing models, and a commitment to financial accountability, transparency, and cost optimization.
The FinOps Specialist will perform a key technical role supporting ACF cloud modernization, cybersecurity, operational resilience, and mission delivery.
Principal responsibilities include, but are not limited to:
  • Perform ongoing cloud-cost analysis across one or more cloud service providers, including AWS, Azure, and GCP, to identify spending trends, anomalies, optimization opportunities, and risks.
  • Develop, maintain, and execute chargeback and showback models that accurately allocate cloud costs to appropriate business units, programs, systems, or cost centers.
  • Build, maintain, and deliver biweekly dashboards and reports reflecting cloud-spend trends, budget variances, utilization, forecast changes, material issues, and risks.
  • Monitor cloud budgets, forecast future spend, and provide timely reporting and actionable variance analysis to leadership, program management, and finance stakeholders.
  • Collaborate with engineering, cloud architecture, and DevOps teams to identify and implement cost-saving recommendations, including right-sizing, savings plans, reserved instances, resource scheduling, storage optimization, and tagging improvements.
  • Support the development and enforcement of cloud cost-governance policies, tagging standards, allocation rules, budget controls, and financial-management best practices.
  • Partner with procurement and vendor-management teams to evaluate cloud pricing agreements, enterprise discount programs, consumption commitments, and contract terms.
  • Support project budget adherence by identifying emerging cost pressures, reporting risks and variances, and coordinating recommended corrective actions with program stakeholders.
  • Support documentation, tracking, and validation of Other Direct Cost (ODC) expenditures by maintaining accurate cost records, confirming that required supporting documentation is available, and tracking written Contracting Officer Representative (COR) pre-approval status before costs are incurred. This role does not approve ODC expenditures.
  • Assess and document whether proposed ODC expenditures appear fair and reasonable based on available pricing, estimates, or comparable cost information; elevate findings to the appropriate program, contracts, procurement, or COR authority for review and disposition.
  • Participate in Agile or program-management ceremonies, including sprint planning and backlog refinement, as they relate to FinOps priorities and cost-optimization activities.
  • Maintain current documentation of chargeback methodologies, cost-allocation models, dashboard logic, forecasts, optimization findings, ODC support records, and governance decisions.
  • Serve as a subject matter resource on FinOps principles, helping technical, financial, and program stakeholders understand cloud-financial-management practices and decision tradeoffs.

Education and Experience:
  • Evaluate and implement state-of-the-art AI frameworks and tooling, enabling automation, anomaly detection, threat modeling, decision support, and large-scale data analysis.
  • Optimize AI models for performance, reliability, and cost efficiency across on-prem and cloud environments (Azure/AWS).
  • Establish and enforce AI development best practices, including MLOps, version control, reproducibility, testing, and continuous integration/continuous deployment.
  • Conduct research and prototype emerging AI techniques, transforming complex technical concepts into actionable engineering solutions.
  • Support the creation and maintenance of AI governance artifacts, including model documentation, performance baselines, risk assessments, and lifecycle management.
  • Mentor engineering teams and contribute to technical decision-making, ensuring solutions align with enterprise architecture and long-term AI strategy.

Required:
  • Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Business Administration, or a related field from an accredited college or university.
  • 3+ years of experience in cloud financial management, FinOps, IT finance, or a related discipline.
  • Demonstrated experience with cloud-cost-management tools, such as AWS Cost Explorer, Azure Cost Management, GCP Billing, CloudHealth, Apptio Cloudability, or similar platforms.
  • Demonstrated experience developing and managing chargeback or showback models in a multi-team or enterprise environment.

Preferred:
  • 5+ years of experience in FinOps, cloud financial operations, or IT financial management.
  • Experience supporting federal government or public-sector cloud environments.

Required Skills and Competencies:
  • Strong understanding of cloud-pricing models, billing structures, and cost-optimization strategies across one or more major cloud providers.
  • Proficiency in developing and managing chargeback and showback frameworks for accurate cost allocation across business units, systems, programs, or cost centers.
  • Experience building financial reports, dashboards, and visualizations that communicate cloud spend, trends, variances, risks, and forecasts to technical and non-technical audiences.
  • Ability to perform cloud-cost forecasting and variance analysis, identify deviations from budget, and recommend corrective actions.
  • Experience delivering regular recurring reporting, including biweekly financial and operational dashboards.
  • Familiarity with cloud resource-tagging strategies and governance policies that support cost attribution, accountability, and data quality.
  • Experience documenting, tracking, or validating costs, approvals, and supporting records in a program, contract, procurement, or financial-control environment.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Exceptional written and oral communication skills in English, with the ability to present financial data clearly to executive, finance, program, and technical audiences.
  • Ability to work collaboratively in a cross-functional team environment with engineering, finance, procurement, contracts, and program-management stakeholders.
  • Proficiency in Microsoft Excel or Google Sheets for financial modeling, data analysis, and reconciliation.

Security Requirement:
  • Ability to obtain a Public Trust Clearance.

Desired Skills and Competencies:
  • FinOps Certified Practitioner (FinOps Foundation) or equivalent certification.
  • Experience with cloud-management platforms such as CloudHealth, Apptio Cloudability, Spot.io, or similar tools.
  • Knowledge of IaC concepts and how cloud resources are provisioned and managed, such as Terraform or CloudFormation.
  • Experience working in a federal government IT or cloud environment.
  • Familiarity with Agile development methodologies, especially Scrum.
  • Experience with data-visualization tools such as Power BI, Tableau, or Looker.
  • AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals (AZ-900), or equivalent cloud-provider certification.
  • Understanding of ITIL or IT Service Management (ITSM) frameworks as they relate to cloud-financial operations.
  • Experience supporting ODC documentation, COR pre-approval tracking, or federal contract cost-control processes.

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
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About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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