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Evening Remote Data Annotation Jobs in Seattle, WA

Allen Institute

Bioinformatics Analyst III

Seattle, WA · On-site +1

$105K - $130K/yr

The Institute will simultaneously provide a foundational data set and tools for future ... Occasional evening and weekend hours may be required * This role is currently able to work both ...

All JobsEvening Data Annotation JobsEvening Remote Data Annotation JobsEvening Remote Data Annotation Jobs in Seattle, WA

Evening Remote Data Annotation information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do evening remote data annotation jobs pay per year?

As of Jul 30, 2026, the average yearly pay for evening remote data annotation in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What is the difference between Evening Remote Data Annotation vs Night Remote Data Annotation?

AspectEvening Remote Data AnnotationNight Remote Data Annotation
Work HoursTypically evening hours, e.g., 4 PM - 10 PMUsually late-night hours, e.g., 10 PM - 4 AM
CredentialsBasic data annotation skills, sometimes requiring familiarity with annotation toolsSimilar credentials, often requiring experience with annotation platforms
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible, suited for night owls or those with daytime commitments
Industry UsageCommon in AI training data projects across tech and healthcareSimilar industry usage, focusing on continuous data labeling needs

Both roles involve remote data annotation tasks with similar credentials and industry applications. The main difference lies in the work hours, with Evening Remote Data Annotation scheduled during evening hours and Night Remote Data Annotation during late-night shifts. Your choice depends on your preferred working hours and personal schedule.

What are the most commonly searched types of Remote Data Annotation jobs in Seattle, WA? The most popular types of Remote Data Annotation jobs in Seattle, WA are:
What are popular job titles related to Evening Remote Data Annotation jobs in Seattle, WA? For Evening Remote Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Evening Remote Data Annotation jobs in Seattle, WA look for? The top searched job categories for Evening Remote Data Annotation jobs in Seattle, WA are:
Evening Remote Data Annotation jobs near you
Infographic showing various Evening Remote Data Annotation job openings in Seattle, WA as of June 2026, with employment types broken down into 10% As Needed, 10% Full Time, 70% Part Time, and 10% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Deep Learning Quality Specialist

Carbon Robotics

Seattle, WA • On-site, Remote

Other

Re-posted 10 days ago

Job description

As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.

Our office is based in Seattle, WA, but this role can be fully remote. 

What you'll do:

  • Audit data to ensure clean and appropriate datasets
  • Look through imagery and correct labels and classifications then give feedback to labelers
  • Work closely with support to help investigate issues and determine what is needed to insure data integrity
  • Review data irregularities detected by automated tooling
  • Validate solutions, document results and record customer feedback
  • Translates field tests, model issues and analyze customer feedback
  • Prepare cases for field personnel to review labels/predictions
  • Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success:

  • Education or professional experience in agronomy & farming or data annotation
  • Highly motivated, independent thinker with great problem solving skills
  • Highly organized with excellent time management to juggle multiple priorities at the same time
  • Collaboration skills to work with customers and internal teams simultaneously
  • High level of attention to detail & the ability to think strategically
  • Detail-oriented, with proven ability to deliver accurate reporting
  • Intermediate to advanced Google Suite and Confluence skills desired
  • Ability to assess high risk situations & make safe independent decisions on a risk based process
  • Traveling required 10-15%

Apply