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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Senior Data Scientist
Merrimack, NH · On-site
Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... detection, annotation strategy and dataset creation, and evaluation of extraction quality.
Senior Data Scientist
Merrimack, NH · On-site
Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... detection, annotation strategy and dataset creation, and evaluation of extraction quality.
Senior Scientist - Oligo Bioinformatics
Billerica, MA · On-site
$112K - $169K/yr
Analyze gene expression data to identify suitable targets for siRNA/ASO development * Work closely ... Perform transcriptome wide off-target prediction and annotation * Develop pipelines that determine ...
Senior Scientist - Oligo Bioinformatics
Billerica, MA · On-site
$112K - $169K/yr
Analyze gene expression data to identify suitable targets for siRNA/ASO development * Work closely ... Perform transcriptome wide off-target prediction and annotation * Develop pipelines that determine ...
Senior Scientist - Oligo Bioinformatics
Billerica, MA · On-site
$112K - $169K/yr
Analyze gene expression data to identify suitable targets for siRNA/ASO development * Work closely ... Perform transcriptome wide off-target prediction and annotation * Develop pipelines that determine ...
Senior Scientist - Oligo Bioinformatics
Billerica, MA · On-site
$112K - $169K/yr
Analyze gene expression data to identify suitable targets for siRNA/ASO development * Work closely ... Perform transcriptome wide off-target prediction and annotation * Develop pipelines that determine ...
Senior Machine Learning Engineer (3968)
Manchester, NH · On-site
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Quick apply
Senior Machine Learning Engineer (3968)
Manchester, NH · On-site
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Senior Machine Learning Engineer (3968)
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Senior Machine Learning Engineer (3968)
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Senior Machine Learning Engineer (3968)
Manchester, NH · On-site
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Senior Machine Learning Engineer (3968)
Manchester, NH · On-site
$104K - $142K/yr
Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration. * Participate in design reviews ...
Staff AI/ML Engineer
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Staff AI/ML Engineer
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Staff AI/ML Engineer
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Staff AI/ML Engineer
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Staff AI/ML Engineer
Westford, MA · On-site
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Staff AI/ML Engineer
Westford, MA · On-site
$99K - $198K/yr
Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...
Data Annotation information
What does a typical workday look like for someone in a Data Annotation role?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
Is data annotation a genuine job?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.
Does data annotation pay well?
Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.
What is a Data Annotation job?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
How hard is it to get hired by data annotation?
Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.
What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
What does a data annotator do?
A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in Derry, NH? The most popular types of Data Annotation jobs in Derry, NH are:
What cities near Derry, NH are hiring for Data Annotation jobs? Cities near Derry, NH with the most Data Annotation job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 12 days ago
Amazon rating
7.4
Based on 7,012 frontline employees who took The Breakroom Quiz
6th 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 and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US