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Remote Amazon Data Annotation Jobs in Pleasanton, CA

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

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

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

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

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

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

Infographic showing various Remote Amazon Data Annotation job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Product Manager, Voice AI

ServiceNow

Santa Clara, CA • On-site, Remote

$221K - $387K/yr

Full-time

Medical, Retirement

Posted 19 days ago


ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

99th of 244 rated software companies


Job description

Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
About the Team
Voice AI is one of ServiceNow's fastest-growing Now Assist capabilities: intelligent voice agents that resolve customer interactions end-to-end. The platform is already in production with marquee customers and scaling fast, competing head-to-head against well-funded startups and CCaaS incumbents on the dimensions buyers test most, conversational quality, containment, and reliability.
About the role
ServiceNow is looking for a Principal Product Manager to lead the conversational core of its Voice AI platform. This is a rare combination: a product already validated in production with enterprise customers, paired with the mandate and scope of a true 0→1 builder. The team is on an aggressive growth trajectory, scaling from a handful of live customers today toward 100 within the next year. For an agentic AI product leader who wants ownership of a fast-moving, technically deep product with a clear path to market impact, this is that role.
What You'll Own
  • The conversational core of the Voice AI platform - dialog quality, LLM selection, and evaluation.
  • The emerging voice-to-voice model integration and deployment strategy.
  • The customer-enablement motion that lets enterprises design and ramp their own voice agents.

Why this role matters
  • Own a category-defining product at an inflection point, already live with marquee customers and scaling aggressively, with the growth trajectory and executive visibility of a flagship initiative.
  • Shape the roadmap for voice-to-voice model integration as the technology itself is still being defined. Genuine 0→1 latitude inside an enterprise platform with real distribution.
  • Compete directly against the best-funded startups and CCaaS incumbents in the market, with the resources and reach of ServiceNow's Now Assist platform behind you.
  • Sit at the center of both the product and the customer, owning enablement as well as the core conversational engine, rather than a narrow slice of either.

What Success Looks Like
  • Scaling the Voice AI platform's live customer base from a small handful today to roughly 100 within the next year.
  • Measurable improvement in conversational quality, containment, and reliability. The dimensions enterprise buyers evaluate most closely.
  • A voice-to-voice model integration and deployment strategy that keeps pace with a fast-moving technology landscape.

Qualifications
  • 8-10+ years of product management experience, recent hands-on experience shipping voice AI products in the last 12-18 months. Years of PM tenure matter far less than what you've shipped recently and how deep you've gone technically.
  • Fluency with voice stack: ASR, TTS, speech-to-speech, streaming, latency, endpointing, barge-in, turn-taking, noise handling.
  • Telephony fluency: SIP, call transfers, Amazon Connect, Genesys, Twilio, or similar CCaaS platforms.
  • Experience defining voice-specific evaluations (task completion, latency, transcription accuracy, interruptions, conversational quality).
  • Strong technical background in conversational AI and real-time interactions.
  • Depth in LLM model evaluation for conversational use cases.
  • Proven experience in AI customer enablement - helping enterprise customers design and ramp their own solutions.
  • A track record of driving 0→1 innovations from early product to scale.
  • Experience with telephony and real-time media signaling in a voice AI context.

For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004