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Remote Amazon Data Annotation Jobs in Fremont, CA

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We believe that data-driven, safe inventory management will optimize the global physical economy ... Experience setting up annotation tooling and workflows * Background in robotics autonomy and ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

We've found product-market fit (multi-million dollar ARR, 100+ customers including Amazon One ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Biosurveillance As molecular data generation and frontier model ... Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and ...

United Airlines

AWS Solution Architect

San Francisco, CA · Remote

$98K - $233K/yr

Location This is remote role based Anywhere in USA About the job you're considering Capgemini is ... Hands-on experience with Amazon Bedrock, Agentic AI architectures, Retrieval Augmented Generation ...

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Remote Amazon Data Annotation information

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 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 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 popular job titles related to Remote Amazon Data Annotation jobs in Fremont, CA?

For Remote Amazon Data Annotation jobs in Fremont, CA, the most frequently searched job titles are:

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, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Director, Product Management - Data Platform

Asurion

San Mateo, CA • On-site, Remote

$265K - $277K/yr

Full-time

Posted 16 days ago

Asurion rating

7.2

Company rating: 7.2 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

136th of 223 rated it services

Job description

Director, Product Management - Data Platform

Location: San Mateo, CA or Remote

The Role

Asurion - the world's leading connected device protection company, serving 300M+ customers - is looking for a hands-on Director of PM to own the strategy and roadmap for our Data Platform. You understand both sides: how data is produced and how it's consumed. You know how to build the foundational infrastructure - data catalog, lineage, ingestion pipelines, access governance, and a self-service analytics layer - that turns raw data into a trusted, scalable asset. This is a high-visibility role with broad scope and the mandate to shape how the entire organization works with data.

What You'll Do

  • Own the Data Platform roadmap: from ingestion and pipeline orchestration to data catalog, lineage tracking, access governance, and the self-service analytics layer.
  • Define how teams onboard data to the platform - establishing contracts, SLAs, quality checks, and documentation standards that make data trustworthy at the source.
  • Drive the self-service experience - so analysts and data scientists can discover, access, and use data in tools like Databricks notebooks or Snowflake without filing tickets.
  • Partner with engineering on architecture decisions: when to use streaming vs. batch, how to structure the lakehouse, what belongs in the warehouse vs. the lake.
  • Align data engineering, analytics, data science, security, and business stakeholders around a shared platform vision.
  • Hire, develop, and lead a high-performing team of data-fluent PMs.

What You Bring

  • 10+ years in product management, with a significant focus on data platform, infrastructure, or analytics products.
  • Fluency with the modern data stack: Databricks (Delta Lake, Unity Catalog, MLflow), Snowflake, Amazon EMR/Spark, and cloud-native data services on AWS or GCP.
  • Experience building or evolving core platform capabilities: data catalog, metadata management, column-level lineage, pipeline orchestration (Airflow, dbt, or similar), RBAC, and data quality frameworks.
  • Understands the producer/consumer dynamic - knows that a great platform is as much about how data gets in as how it gets used.
  • Proven cross-functional leadership; strong communicator from the board room to the engineering standup.
  • Customer-obsessed with a strong bias for outcomes over output.

Nice to Have

  • Experience standing up a data mesh or domain-oriented data ownership model.
  • Familiarity with ML/AI workflows and feature stores that consume platform data.
  • Background partnering with security and privacy teams on governance at scale.

Why Asurion

  • Build at scale - petabytes of data, real-time decisions, 300M+ customers.
  • Greenfield platform scope inside a well-resourced, high-growth organization.
  • Direct influence on how every team across the company discovers and uses data.
  • Competitive compensation, comprehensive benefits, and a flexible hybrid work model.
  • Asurion is an equal opportunity employer committed to an inclusive environment for all employees.

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