... AI/ML data production, annotation, or expert workforce operations - Track record converting bespoke operational solutions into standardized, repeatable service offerings - Experience driving AI ...
... AI/ML data production, annotation, or expert workforce operations - Track record converting bespoke operational solutions into standardized, repeatable service offerings - Experience driving AI ...
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Project Perseus \u007C Data Labeling Associate - English Speakers(Europe, UK, Canadian and/ or Austr
$34/hr
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Project Perseus \u007C Data Labeling Associate - English Speakers(Europe, UK, Canadian and/ or Austr
$34/hr
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems ... Driving innovation in language services, Welocalize delivers high-quality training data ...
We combine human expertise with machine learning to produce high-quality training data, validate ... As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the ...
We combine human expertise with machine learning to produce high-quality training data, validate ... As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the ...
We combine human expertise with machine learning to produce high-quality training data, validate ... As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the ...
We combine human expertise with machine learning to produce high-quality training data, validate ... As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Project Perseus \u007C Speech & Voice AI Analyst - Greek Speakers
Boston, MA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst - Greek Speakers
Boston, MA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Project Perseus \u007C Speech & Voice AI Analyst - Russian Speakers
Boston, MA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst - Russian Speakers
Boston, MA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Data Annotation Services information
What are data annotation services?
Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What are the key skills and qualifications needed to thrive in data annotation services?
To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.
What are some common challenges faced when working in data annotation services, and how can I address them?
In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.
What is the difference between Data Annotation Services vs Data Labeling Specialists?
| Aspect | Data Annotation Services | Data Labeling Specialists |
|---|---|---|
| Credentials | Typically no formal credentials required; focus on training | Often have training in specific tools or industry standards |
| Work Environment | Collaborative, often remote or in-office teams | Similar, working in teams or independently on labeling tasks |
| Industry Usage | Used by AI/ML companies for training datasets | Employed in similar settings, focusing on labeling data for AI models |
| Search & Comparison Intent | Understanding services offered for data preparation | Looking for roles or tasks related to data labeling |
Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.
What are popular job titles related to Data Annotation Services jobs in Massachusetts?
For Data Annotation Services jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Annotation Services jobs in Massachusetts look for?
The top searched job categories for Data Annotation Services jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Annotation Services jobs?
Cities in Massachusetts with the most Data Annotation Services job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 24 days ago
Key responsibilities
Define and execute the strategy for GO-AI's central operations capabilities, including quality assurance, labor planning, capacity management, and people development.
Deliver operational efficiency targets through process improvements, automation, and workforce utilization enhancements.
Translate customer demand into reliable capacity plans and convert operational patterns into standardized, scalable service offerings.
Amazon rating
7.4
Based on 7,154 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
GO-AI is a technology enablement organization that accelerates the development and enhances the performance of AI-based robotic and automation solutions for Amazon Robotics (AR) and key Worldwide Operations programs. We combine human expertise with machine learning to produce high-quality training data, validate model outputs, and continuously improve AI system performance across many annotation programs and a large global workforce.
This Senior Manager, Technical Product Management will lead central operations functions within GO-AI, including quality assurance, labor planning and capacity management, and people development initiatives (upskilling, learning programs, career progression). You will own the strategy for GO-AI operations capabilities and evolution, translating demand signals into production-ready capacity plans and converting program-specific operational patterns into scalable, repeatable processes. You will drive operational efficiency initiatives, evaluate and adopt tools to improve workforce planning and utilization, and lead AI-enabled process improvement across the organization.
As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the operational foundation, including workforce readiness, quality standards, and capacity planning, adapts in step with that transformation.
Key job responsibilities
- Define and execute the strategy for GO-AI's central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
- Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
- Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
- Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
- Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
- Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
- Represent operations in cross-functional forums with engineering, science, and product leadership
- Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones
BASIC QUALIFICATIONS
- 10+ years of technical product or program management experience
- 6+ years of team management experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Bachelor's degree
- Experience in capacity planning, operations planning, business analysis or equivalent
- Experience working cross-functionally across several teams both technical and non-technical
PREFERRED QUALIFICATIONS
- Experience delivering consumer software products and services in a high growth environment
- Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment
- Experience in operations planning for AI/ML data production, annotation, or expert workforce operations
- Track record converting bespoke operational solutions into standardized, repeatable service offerings
- Experience driving AI adoption or process automation within an operations organization
- Familiarity with make/buy decisions for operational software tools (WFM, scheduling, planning platforms)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, North Reading - 197,900.00 - 267,800.00 USD annually
USA, MA, Westboro - 197,900.00 - 267,800.00 USD annually
This Senior Manager, Technical Product Management will lead central operations functions within GO-AI, including quality assurance, labor planning and capacity management, and people development initiatives (upskilling, learning programs, career progression). You will own the strategy for GO-AI operations capabilities and evolution, translating demand signals into production-ready capacity plans and converting program-specific operational patterns into scalable, repeatable processes. You will drive operational efficiency initiatives, evaluate and adopt tools to improve workforce planning and utilization, and lead AI-enabled process improvement across the organization.
As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the operational foundation, including workforce readiness, quality standards, and capacity planning, adapts in step with that transformation.
Key job responsibilities
- Define and execute the strategy for GO-AI's central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
- Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
- Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
- Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
- Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
- Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
- Represent operations in cross-functional forums with engineering, science, and product leadership
- Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones
BASIC QUALIFICATIONS
- 10+ years of technical product or program management experience
- 6+ years of team management experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Bachelor's degree
- Experience in capacity planning, operations planning, business analysis or equivalent
- Experience working cross-functionally across several teams both technical and non-technical
PREFERRED QUALIFICATIONS
- Experience delivering consumer software products and services in a high growth environment
- Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment
- Experience in operations planning for AI/ML data production, annotation, or expert workforce operations
- Track record converting bespoke operational solutions into standardized, repeatable service offerings
- Experience driving AI adoption or process automation within an operations organization
- Familiarity with make/buy decisions for operational software tools (WFM, scheduling, planning platforms)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, North Reading - 197,900.00 - 267,800.00 USD annually
USA, MA, Westboro - 197,900.00 - 267,800.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US