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Remote Amazon Data Annotation Jobs in Fremont, CA

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

San Francisco, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data ...

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Remote Amazon Data Annotation information

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What job categories do people searching Remote Amazon Data Annotation jobs in Fremont, CA look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Amazon Data Annotation jobs?

Cities near Fremont, CA with the most Remote Amazon Data Annotation job openings:

Remote Amazon Data Annotation jobs near you
Infographic showing various Remote Amazon Data Annotation job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Network Engineer - Data Annotation

San Francisco, CA • Remote

Mercor
See more jobs at Mercorexternal

$50 - $70/hr

Full-time

Posted 10 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.
  • Help define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Collaborate with client teams to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations.
  • Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls.
  • Proficiency in Wi-Fi/wireless technologies, including Cisco WLC, Aruba, Meraki, 802.1X/RADIUS, and wireless troubleshooting.
  • Ability to perform packet-level troubleshooting with Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • 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.