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Sunday

Data Annotation Lead

Redwood City, CA · On-site

Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves ...

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Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We ...

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Abaka AI is built on the mission to be the world's most trusted data partner for AI companies. The ... similar technologies • Experience supporting data annotation, AI training, data operations, or ...

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Modify and refine machine learning data creation, annotation, and rating guidelines. * Initiate ... Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Welocalize, Inc.

Data Labeling Analyst

Evaluate the performance of trained models to gauge their efficacy and readiness for deployment. Data Management and Annotation: * Design and develop test and training datasets as per the criteria ...

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How much do platforms similar to data annotation tech jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for platforms similar to data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What is the difference between Platforms Similar To Data Annotation Tech vs Data Labeling Specialist?

AspectPlatforms Similar To Data Annotation TechData Labeling Specialist
Required CredentialsBasic technical skills, familiarity with annotation toolsOften requires domain-specific knowledge and attention to detail
Work EnvironmentPrimarily remote or office-based, using annotation softwareSimilar, with focus on labeling data for AI/ML models
Employer & Industry UsageTech companies, AI startups, data service providersAI/ML companies, data firms, research institutions
Search & Comparison IntentUnderstanding roles similar to data annotation platformsClarifying differences between annotation tech platforms and labeling roles

Platforms Similar To Data Annotation Tech focus on providing tools and environments for data annotation, while Data Labeling Specialists perform the actual labeling work. Both roles are essential in AI data pipelines but differ in responsibilities and skill requirements.

Infographic showing various Platforms Similar To Data Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 94% Full Time, and 4% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Posted 18 days ago

Job description

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms.
Job Overview
We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development.
The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team.
This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic's standard full-time benefits. This position reports to the Data Annotation Manager.
Responsibilities
  • Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods.
  • Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy.
  • Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets.
  • Apply evolving labeling guidelines and escalate unclear edge cases when needed.
  • Perform both manual annotation work and quality review of auto-labeled data as needed.
  • Willingness to support priority project deadlines when needed.
Qualifications
  • Prior experience in computer vision data annotation or labeling.
  • Familiarity with annotation tools such as Labelbox, CVAT, or similar
  • Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification.
  • Strong visual pattern recognition, spatial reasoning, and attention to detail.
  • Comfortable performing repetitive, process-driven work for extended periods while maintaining quality.
  • Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment.
  • Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team.
  • Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus.

Saronic CCPA Notice for Candidates and California Employees
If this role is based in the United States, it requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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