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Remote Annotation Specialist Jobs in Washington (NOW HIRING)

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Remote Annotation Specialist information

What is the difference between Remote Annotation Specialist vs Data Labeler?

AspectRemote Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, computer vision
Job FocusPrecise annotation of images, videos, or textLabeling data for training AI models

The main difference is that Remote Annotation Specialists often handle more complex annotation tasks and may require familiarity with specific tools, while Data Labelers typically perform straightforward labeling tasks. Both roles are essential in AI development and share similar work environments and skills.

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For Remote Annotation Specialist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Annotation Specialist jobs in Washington look for?

The top searched job categories for Remote Annotation Specialist jobs in Washington are:

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Cities in Washington with the most Remote Annotation Specialist job openings:

Remote Annotation Specialist jobs near you
Infographic showing various Remote Annotation Specialist job openings in Washington as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Network Support Specialist - AI Trainer

Mercor

Washington, DC • Remote

$50 - $70/hr

Full-time

Posted 12 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify network behaviors, issues, anomalies, and incident patterns.
  • Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Interface directly with the client team to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Current role as a Level 3 / Tier 3 / Principal Support Engineer.
  • Experience with end-customer enterprise networks (switches, APs, firewalls).
  • Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
  • Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • Individual 1099 contract paid to a personal account.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor