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Night Shift Remote Data Annotation Jobs in Washington

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description ...

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Night Shift Remote Data Annotation information

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

To thrive as a Night Shift Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and the ability to work independently, often supported by a high school diploma or equivalent. Familiarity with data labeling tools, annotation software, and basic computer systems is typically required, and experience with platforms like Labelbox or CVAT is beneficial. Excellent time management, self-motivation, and reliable communication skills help you excel in a remote and asynchronous work environment. These skills are crucial to ensure high-quality, consistent data output that directly impacts the effectiveness of machine learning and AI projects.

What is the difference between Night Shift Remote Data Annotation vs Night Shift Remote Data Labeling?

AspectNight Shift Remote Data AnnotationNight Shift Remote Data Labeling
Primary TaskAdding detailed annotations to datasets, such as bounding boxes or polygonsAssigning labels or categories to data points, often simpler tags
Required SkillsAttention to detail, basic understanding of annotation toolsUnderstanding of categories, quick decision-making
Work EnvironmentRemote, night shift, often part-time or freelanceRemote, night shift, similar flexible hours
Industry UsageUsed in computer vision, autonomous vehicles, AI trainingUsed in machine learning, data categorization tasks

Both roles are remote, night shift positions in AI data processing. Data annotation involves detailed marking of data, while data labeling focuses on categorizing data points. The choice depends on the complexity of tasks and required skills, but both are essential in AI training pipelines.

What is a night shift remote data annotation job?

A night shift remote data annotation job involves labeling or tagging data, such as images, text, or audio, to help train machine learning models. The work is performed from home or another remote location during nighttime hours, which can be ideal for those needing flexible schedules or working in different time zones. Data annotators use specific guidelines and tools to ensure accuracy and consistency. This job typically requires attention to detail, basic computer skills, and the ability to follow instructions closely.

What are some common challenges faced by night shift remote data annotation professionals, and how can they be managed?

Night shift remote data annotation professionals often encounter challenges such as maintaining focus during late hours, managing fatigue, and staying motivated while working independently. To address these issues, it's helpful to establish a consistent sleep schedule, create a well-lit and organized workspace, and take regular breaks to reduce eye strain and maintain productivity. Additionally, staying connected with team members through scheduled check-ins or chat platforms can help reduce feelings of isolation and foster collaboration, ensuring high-quality annotation work.
What are the most commonly searched types of Shift Remote Data Annotation jobs in Washington? The most popular types of Shift Remote Data Annotation jobs in Washington are:
What are popular job titles related to Night Shift Remote Data Annotation jobs in Washington? For Night Shift Remote Data Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Night Shift Remote Data Annotation jobs in Washington look for? The top searched job categories for Night Shift Remote Data Annotation jobs in Washington are:
Infographic showing various Night Shift Remote Data Annotation job openings in Washington as of July 2026, with employment types broken down into 14% Full Time, 13% Part Time, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution.

Support Specialist, Pilot (Night Shift)

Liquid Robotics, a Boeing Company

Jessup, MD • On-site, Remote

$68K - $94K/yr

Full-time

Re-posted 8 days ago


Job description

Description
Support Specialist, Pilot (Night Shift)
Liquid Robotics is seeking a highly motivated Support Specialist, Pilot to join our Wave Glider Operations Center team. This role is responsible for supporting the global operation of autonomous surface vehicles (ASVs), ensuring mission success, and providing exceptional customer support to both internal and external stakeholders.
As a qualified Wave Glider Operator (Pilot-in-Charge), Mission Administrator, and Technical Support Professional, you will play a critical role in the monitoring, operation, and support of autonomous robotic systems deployed worldwide.
This position requires strong technical aptitude, attention to detail, sound judgment, and the ability to work independently in a 24/7 operational environment.
Location: Remote
Shift: Night Shift (10:00 PM - 10:00 AM EST)
Essential Functions
Mission Operations
  • Serve as Pilot-in-Charge (PIC) for active Wave Glider missions.
  • Monitor mission performance and ensure established mission success criteria are achieved.
  • Execute operational procedures and respond to mission events and anomalies.
  • Coordinate mission activities with field operations, engineering, and customer teams.
  • Maintain accurate mission logs, records, and operational documentation.
  • Customer & Technical Support
  • Provide first-line support for customer inquiries and operational issues.
  • Manage incident reporting, escalation, and resolution processes.
  • Communicate mission status, technical issues, and operational updates to stakeholders.
  • Prepare reports, summaries, and other mission-related documentation as required.
  • Continuous Improvement
  • Identify opportunities to improve operational processes and workflows.
  • Contribute to the development of standard operating procedures and best practices.
  • Support testing, validation, and deployment of new operational capabilities.

Required Qualifications
  • Bachelor's degree in a related discipline, or an equivalent combination of education and relevant experience.
  • Minimum of one (1) year of operational, technical support, or call center experience.
  • Two (2) to three (3) years of related experience preferred.
  • Knowledge, Skills, and Abilities
  • Strong customer-service orientation with a commitment to operational excellence.
  • Ability to work extensively with computer-based graphical user interfaces (GUIs).
  • Proficiency in executing scripted software commands and technical procedures.
  • Ability to read and interpret nautical charts and mapping software.
  • Understanding of marine environments and ocean operating conditions.
  • Familiarity with autonomous systems, robotics, or remotely operated platforms.
  • Knowledge of solar-powered and battery-powered systems.
  • Experience with case management, ticketing systems, and escalation processes.
  • Strong written and verbal communication skills.
  • Excellent analytical and problem-solving abilities.
  • Ability to make sound decisions in dynamic operational environments.
  • Demonstrated ability to work independently with minimal supervision.
  • Ability to collaborate effectively across multiple departments and organizational levels.
  • Proficiency with ERP, CRM, and other business software applications.
  • Ability to work extended shifts, overnight schedules, weekends, and holidays as required.

Preferred Qualifications
  • Experience supporting a technical operations center or mission operations center.
  • Marine operations, maritime, or offshore operations experience.
  • Familiarity with autonomous vehicle operations.
  • Experience supporting high-availability web-based applications and systems.
  • Military, aviation, maritime, or unmanned systems operations experience.

Work Environment
  • Remote work environment.
  • Extended periods of computer and monitor use.
  • Ability to maintain focus and situational awareness during prolonged monitoring activities.
  • May require occasional schedule adjustments to support operational requirements.

Shift Information
Schedule:
  • 12-hour overnight shift
  • 10:00 PM - 10:00 AM EST
  • Rotating schedule:
  • 3 days on / 4 days off
  • 4 days on / 3 days off

This position supports a 24/7 global operations center and requires reliable attendance during assigned shifts.
U.S. Citizen status required.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $68,800 - $94,600
Liquid Robotics designs and manufactures Wave Gliders®, the first wave and solar powered autonomous ocean robots. With our partners we address many of the planet's greatest challenges, by transforming how to assess, monitor, and protect the ocean. We solve critical problems for defense, commercial, and science customers.
Visit us at www.liquid-robotics.com to learn more.
Liquid Robotics is an Equal Opportunity Employer (EOE). Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.